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Analysis of Variance and Design of Experiments True/False and Multiple Choice
Analysis of Variance and Design of Experiments
True/False
1. In experimental design, classification variables are independent variables.
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.
2. In an experimental design, treatment variables are response variables.
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.
3. In experimental design, a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter’s manipulations or control is called a classification variable.
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.
4. In experimental design, a variable that the experimenter controls or modifies in the experiment is called a treatment variable.
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.
5. An experimental design contains only independent variables.
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.
6. Analysis of variance may be used to test the differences in the means of more than two independent populations.
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
7. In analysis of variance tests a F distribution forms the basis for making the decisions.
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
8. The statistical methods of analysis of variance assume that the populations are normally distributed.
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
9. The statistical methods of analysis of variance assume equal sample means.
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
10. Determining the table value for the F distribution requires two values for degrees of freedom.
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
11. The Tukey-Kramer procedure is based on construction of confidence intervals for each pair of treatment means at a time.
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments.
12. The Tukey-Kramer procedure allows us to simultaneously examine all pairs of population means after the ANOVA test has been completed without increasing the true α level.
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments.
13. A completely randomized design has been analyzed by using a one-way ANOVA. There are three treatment groups in the design, and each sample size is four. The mean for group 1 is 25.00 and for group 3 it is 27.50. MSE is 3.19. Using α=0.05 there is a significant difference between these two groups.
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Hard
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments.
14. In a randomized complete block design the conclusion might be that blocking is not necessary.
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
15. The F value for treatment will always increase if we include a blocking effect.
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
16. Interaction effects in a factorial design can be analyzed in randomized block design.
Ans:
Response: See section 11.5 Factorial Design (Two-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.5: Test a factorial design using a two-way analysis of variance, noting the advantages and applications of such a design and accounting for possible interaction between two treatment variables.
Multiple Choice
17. Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the dependent variable is ________________.
a. advertisement venue
b. bed and breakfast establishment
c. travel website
d. number of reservations
e. number of customer calls
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables – both treatment and classification – and dependent variables.
18. Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable is ________________.
a. advertisement venue
b. bed and breakfast establishment
c. travel website
d. number of reservations
e. number of customer calls
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables – both treatment and classification – and dependent variables.
19. Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable has how many levels?
a. 1
b. 2
c. 3
d. 4
e. 0
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables – both treatment and classification – and dependent variables.
20. Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable is a ________________.
a. treatment variable
b. classification variable
c. experimental variable
d. design variable
e. research variable
Ans:
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables – both treatment and classification – and dependent variables.
21. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. Kathleen's experimental design is a ________.
a) factorial design
b) random block design
c) normalized block design
d) completely randomized design
e) fractional design
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
22. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. In Kathleen's experimental design "painting style" is _______.
a) the dependent variable
b) a concomitant variable
c) a treatment variable
d) a blocking variable
e) a response variable
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
23. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. In Kathleen's experimental design "reduced length of stay" is _______.
a) the dependent variable
b) a concomitant variable
c) a treatment variable
d) a blocking variable
e) a constant
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
24. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. Kathleen's null hypothesis is _____________.
a) 1 2 3
b) 1 2 3
c) 1 2 3
d) 1 2 3
e) 1 2 ≥ 3
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
25. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. Analysis of Kathleen's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 33476.19 2 16738.1 9.457912
Error 26546.18 15 1769.745
Total 60022.37 17
Using = 0.05, the critical F value is _____________.
a) 13.68
b) 19.43
c) 3.59
d) 19.45
e) 3.68
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
26. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. Analysis of Kathleen's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 33476.19 2 16738.1 9.457912
Error 26546.18 15 1769.745
Total 60022.37 17
Using = 0.05, the observed F value is _____________.
a) 16738.1
b) 1769.75
c) 33476.19
d) 26546.18
e) 9.457912
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
27. Medical Wonders is a specialized interior design company focused on healing artwork. The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying in a hospital, as measured by reduced length of stay. Her current client is a children’s cancer hospital. Kathleen is interested in determining the effect of three different pieces of healing artwork on children. She chooses three paintings (a horse photo, a bright abstract, and a muted beach scene) and randomly assigns six hospital rooms to each painting. Analysis of Kathleen's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 33476.19 2 16738.1 9.457912
Error 26546.18 15 1769.745
Total 60022.37 17
Using = 0.05, the appropriate decision is _____________.
a) reject the null hypothesis 1 2 3
b) reject the null hypothesis 1 2 3
c) do not reject the null hypothesis 1 2 3
d) do not reject the null hypothesis 1 2 3
e) inconclusive
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
28. Pate's Pharmacy, Inc. operates a regional chain of 120 pharmacies. Each pharmacy's floor plan includes a greeting card department which is relatively isolated. Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department. She chooses three levels of lighting (soft, medium, and bright) and randomly assigns six pharmacies to each lighting level. Analysis of Sandra's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 3608.333 2 1804.167
Error 13591.67 15 906.1111
Total 17200 17
Using = 0.05, the critical F value is _____________.
a) 13.68
b) 19.43
c) 3.59
d) 19.45
e) 3.68
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
29. Pate's Pharmacy, Inc. operates a regional chain of 120 pharmacies. Each pharmacy's floor plan includes a greeting card department which is relatively isolated. Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department. She chooses three levels of lighting (soft, medium, and bright) and randomly assigns six pharmacies to each lighting level. Analysis of Sandra's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 3608.333 2 1804.167
Error 13591.67 15 906.1111
Total 17200 17
Using = 0.05, the observed F value is _____________.
a) 0.5022
b) 0.1333
c) 1.9911
d) 7.5000
e) 1.000
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
30. Pate's Pharmacy, Inc. operates a regional chain of 120 pharmacies. Each pharmacy's floor plan includes a greeting card department which is relatively isolated. Sandra Royo, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department. She chooses three levels of lighting (soft, medium, and bright) and randomly assigns six pharmacies to each lighting level. Analysis of Sandra's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 3608.333 2 1804.167
Error 13591.67 15 906.1111
Total 17200 17
Using = 0.05, the appropriate decision is _____________.
a) do not reject the null hypothesis 1 2 3
b) do not reject the null hypothesis 1 2 3
c) reject the null hypothesis 1 2 3
d) reject the null hypothesis 1 2 3
e) inclusive
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
31. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Kevin's experimental design is a ________.
a) factorial design
b) random block design
c) completely randomized design
d) normalized block design
e) partially randomized design
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
32. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Kevin's null hypothesis is _____________.
a) 1 2 3
b) 1 2 3
c) 1 2 3
d) 1 2 3
e) 1 2 ≥ 3
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
33. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Analysis of Kevin's data yielded the following ANOVA table.
Source of Variation SS df MS F
Between Groups 68102.33 2 34051.17 17.50543
Within Groups 29177.67 15 1945.178
Total 97280 17
Using = 0.05, the appropriate decision is _____________.
a) inconclusive
b) reject the null hypothesis 1 2 3
c) reject the null hypothesis 1 2 3
d) do not reject the null hypothesis 1 2 3
e) do not reject the null hypothesis 1 2 3
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
34. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Analysis of Kevin's data yielded the following ANOVA table.
Source of Variation SS df MS F
Between Groups 68102.33 2 34051.17
Within Groups 29177.67 15 1945.178
Total 97280 17
Using = 0.05, the critical F value is _____________.
a) 3.57
b) 19.43
c) 3.68
d) 19.45
e) 2.85
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
35. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Analysis of Kevin's data yielded the following ANOVA table.
Source of Variation SS df MS F
Between Groups 68102.33 2 34051.17
Within Groups 29177.67 15 1945.178
Total 97280 17
Using = 0.05, the observed F value is _____________.
a) 0.5022
b) 0.1333
c) 1.9911
d) 17.5100
e) 22.4567
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
36. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. Analysis of Kevin's data yielded the following ANOVA table.
Source of Variation SS df MS F
Between Groups 384.3333 2 192.1667
Within Groups 1359.667 15 90.64444
Total 1744 17
Using = 0.05, the appropriate decision is _____________.
a) do not reject the null hypothesis 1 2 3
b) do not reject the null hypothesis 1 2 3
c) reject the null hypothesis 1 2 3
d) reject the null hypothesis 1 2 3
e) do nothing
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
37. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. Cindy's experimental design is a ________.
a) factorial design
b) random block design
c) completely randomized design
d) normalized block design
e) incomplete block design
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
38. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. In Cindy's experiment, "average collection period" is ________.
a) the dependent variable
b) a treatment variable
c) a blocking variable
d) a concomitant variable
e) a constant
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
39. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. In Cindy's experiment, "sales discount rate" is ______.
a) the dependent variable
b) a treatment variable
c) a blocking variable
d) a concomitant variable
e) a constant
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
40. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. Cindy's null hypothesis is ______.
a) 1 2 3 4 5
b) 1 2 3 4 5
c) 1 2 3 4
d) 1 2 3 4
e) 1 ≠ 2 3 4
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
41. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. An analysis of Cindy's data produced the following ANOVA table.
Source of Variation SS df MS F
Treatment 1844.2 3 614.7333 7.568277
Error 1299.6 16 81.225
Total 3143.8 19
Using = 0.01, the appropriate decision is _________.
a) reject the null hypothesis
b) reject the null hypothesis 1 2 3 4
c) do not reject the null hypothesis
d) do not reject the null hypothesis 1 2 3 4 5
e) do nothing
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
42. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. An analysis of Cindy's data produced the following ANOVA table.
Source of Variation SS df MS F
Treatment 5.35 3 1.783333
Error 177.2 16 11.075
Total 182.55 19
Using = 0.01, the critical F value is _________.
a) 5.33
b) 6.21
c) 0.16
d) 5.29
e) 6.89
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
43. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. An analysis of Cindy's data produced the following ANOVA table.
Source of Variation SS df MS F
Treatment 5.35 3 1.783333
Error 177.2 16 11.075
Total 182.55 19
Using = 0.01, the observed F value is _________.
a) 6.2102
b) 0.1610
c) 0.1875
d) 5.3333
e) 4.9873
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
44. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. An analysis of Cindy's data produced the following ANOVA table.
Source of Variation SS df MS F
Treatment 5.35 3 1.783333
Error 177.2 16 11.075
Total 182.55 19
Using = 0.01, the appropriate decision is _________.
a) reject the null hypothesis
b) reject the null hypothesis 1 2 3 4
c) do not reject the null hypothesis
d) do not reject the null hypothesis 1 2 3 4
e) do nothing
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
45. Suppose a researcher sets up a design in which there are five different treatments and a total of 32 measurements in the study. For alpha = .01, the critical table F value is ____.
a) 3.75
b) 3.78
c) 4.07
d) 4.11
e) 4.91
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
46. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA, the Total Sum of Squares (SST) is ________.
a) 36.17
b) 28.75
c) 64.92
d) 18.03
e) 28.04
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
47. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA, the Between Sum of Squares (SSC is ________.
a) 36.17
b) 28.75
c) 64.92
d) 18.03
e) 28.04
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
48. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA, the Error Sum of Squares (SSE) is ________.
a) 36.17
b) 28.75
c) 64.92
d) 18.03
e) 28.04
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
49. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA using = 0.05, the critical F value is ________.
a) 3.86
b) 3.59
c) 19.38
d) 4.26
e) 6.8
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
50. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA using = 0.05, the observed F value is ________.
a) 5.66
b) 3.19
c) 18.08
d) 4.34
e) 8.98
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
51. Data from a completely randomized design are shown in the following table.
Treatment Level
1 2 3
27 26 27
26 22 29
23 21 27
24 23 26
For a one-way ANOVA using = 0.05, the appropriate decision is ________.
a) do not reject the null hypothesis 1 2 3
b) do not reject the null hypothesis 1 2 3
c) reject the null hypothesis
d) reject the null hypothesis 1 2 3
e) do not reject the null hypothesis 1 2 3
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Medium
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
52. For the following ANOVA table, the dfTreatment value is ___________.
Source of Variation SS df MS F
Treatment 150
Error 40 20
Total 23
a) 3
b) 43
c) 1.15
d) 460
e) 150
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
53. For the following ANOVA table, the MS Treatment value is ___________.
Source of Variation SS df MS F
Treatment 150
Error 40 20
Total 23
a) 150
b) 50
c) 450
d) 3.49
e) 40
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
54. For the following ANOVA table, the MS Error value is ___________.
Source of Variation SS df MS F
Treatment 150
Error 40 20
Total 23
a) 20
b) 60
c) 800
d) 2
e) 200
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
55. For the following ANOVA table, the observed F value is ___________.
Source of Variation SS df MS F
Treatment 150
Error 40 20
Total 23
a) 0.5625
b) 50
c) 25
d) 0.02
e) 0.09
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
56. For the following ANOVA table, the dfError value is ___________.
Source of Variation SS df MS F
Treatment 4
Error 360
Total 440 16
a) 4
b) 20
c) 12
d) 64
e) 16
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
57. For the following ANOVA table, the MS Treatment value is ___________.
Source of Variation SS df MS F
Treatment 4
Error 360
Total 440 16
a) 20
b) 200
c) 76
d) 84
e) 360
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
58. For the following ANOVA table, the MS Error value is ___________.
Source of Variation SS df MS F
Treatment 4
Error 360
Total 440 16
a) 4,320
b) 372
c) 348
d) 30
e) 4
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
59. For the following ANOVA table, the observed F value is ___________.
Source of Variation SS df MS F
Treatment 4
Error 360
Total 440 16
a) 0.67
b) 1.50
c) 6.00
d) 5.00
e) 4.00
Ans:
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA)
Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.
60. For the following ANOVA table, the critical value of the studentized range distribution using = 0.05 is ______
Source of Variation SS df MS F
Treatment 36.17 2 18.08 5.66
Error 28.75 9 3.19
Total 64.92 11
a) 1.86
b) 3.94
c) 9.17
d) 1.65
e) 1.79
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments
61. For the following ANOVA table, the HSD value, assuming equal sample sizes and using = 0.05 is ______
Source of Variation SS df MS F
Treatment 36.17 2 18.08 5.66
Error 28.75 9 3.19
Total 64.92 11
a) 1.86
b) 3.94
c) 3.19
d) 1.645
e) 3.52
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments
62. For the following ANOVA table, the critical value of the studentized range distribution using = 0.01 is ______
Source of Variation SS df MS F
Treatment 0.1233 2 0.06165 1.566311
Error 0.5904 15 0.03936
Total 0.7137 17
a) 3.01
b) 3.67
c) 4.17
d) 4.84
e) 5.25
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments
63. For the following ANOVA table, the HSD value, assume equal sample sizes and using = 0.01 is ______
Source of Variation SS df MS F
Treatment 0.1233 2 0.06165 1.566311
Error 0.5904 15 0.03936
Total 0.7137 17
a) 0.81
b) 0.55
c) 0.48
d) 0.43
e) 0.68
Ans:
Response: See section 11.3 Multiple Comparison Tests
Difficulty: Medium
Learning Objective: 11.3: Use multiple comparison techniques, including Tukey’s honestly significant difference test and the Tukey-Kramer procedure, to test the difference in two treatment means when there is overall significant difference between treatments
64. BigShots, Inc. is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn, Sales Director, feels that the style (color scheme, graphics, fonts, etc.) of a Web site may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalog Web sites to each design style. In Kevin's experiment "sales at a Web site" is _______.
a) a blocking variable
b) a concomitant variable
c) a treatment variable
d) the dependent variable
e) the independent variable
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Medium
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
65. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). Cindy wants to control for the size of the customer but not to test for it as the main variable of interest so she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. Cindy's experimental design is a ________.
a) normalized block design
b) completely randomized design
c) factorial design
d) random block design
e) partially randomized design
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
66. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). First, she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. In Cindy's experiment "average collection period" is ________.
a) a concomitant variable
b) the dependent variable
c) a treatment variable
d) a blocking variable
e) a constant
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
67. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). Cindy wants to control for the size of the customer but not to test for it as the main variable of interest so she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. In Cindy's experiment "total asset size of credit customer" is ________.
a) a surrogate variable
b) the dependent variable
c) a blocking variable
d) a treatment variable
e) a constant
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
68. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). First, she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. In Cindy's experiment "sales discount rate" is ________.
a) a surrogate variable
b) the dependent variable
c) a blocking variable
d) a treatment variable
e) a constant
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
69. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). First, she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. Cindy's null hypothesis is ________.
a) 1 2 3 4
b) 1 2 3 4
c)
d) 1 2 3 4
e) 1 2 ≥ 3 4
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Easy
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
70. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). First, she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. An analysis of Cindy's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 64.91667 3 21.63889 8.752809
Block 10.5 2 5.25 2.123596
Error 14.83333 6 2.472222
Total 90.25 11
Using = 0.05, the appropriate decision for treatment effects is ________.
a) reject the null hypothesis
b) reject the null hypothesis 1 2 3 4
c) do not reject the null hypothesis 1 2 3 4
d) do not reject the null hypothesis 1 2 3 4
e) do nothing
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Medium
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
71. Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%). First, she classified DCI's credit customers into three categories by total assets (small, medium, and large). Then, she randomly assigned four customers from each category to a sales discount rate. An analysis of Cindy's data yielded the following ANOVA table.
Source of Variation SS df MS F
Treatment 64.91667 3 21.63889 8.752809
Block 10.5 2 5.25 2.123596
Error 14.83333 6 2.472222
Total 90.25 11
Using = 0.05, the appropriate decision for block effects is ________.
a) do not reject the null hypothesis 1 2 3
b) do not reject the null hypothesis
c) reject the null hypothesis 1 2 3
d) reject the null hypothesis 1 2 3
e) do nothing
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Medium
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
72. Data from a randomized block design are shown in the following table.
Treatment Levels
1 2 3 4
Block 1 8 5 10 7
Block 2 6 6 9 5
Block 3 7 8 8 9
The Total Sum of Squares (SST) is ________.
a) 4.67
b) 12
c) 2.33
d) 28.67
e) 11
Ans:
Response: See section 11.4 The Randomized Block Design
Difficulty: Medium
Learning Objective: 11.4: Test a randomized block design which includes a blocking variable to control for confounding variables.
73. Data from a randomized block design are shown in the following table.
Treatment Levels
1 2 3 4
Block 1 8 5 10 7
Block 2 6 6 9 5
Block 3 7 8 8 9
The Treatment
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is * *********** ******** ****** ******* focused ** healing ******* *** *** Kathleen Kelledy ****** **** ******* *** ******* ******* *** ******** ******* ** * hospital ** measured by ******* ****** of stay *** current ****** ** * ************ cancer hospital ******** ** interested in *********** the ****** of ***** ********* ****** of ******* artwork ** ******** She ******* ***** ********* ** ***** ***** * ****** ******** *** * muted ***** ****** *** ******** ******* six ******** rooms ** **** painting ******** of Kathleen's **** yielded *** ********* ***** ************* ** ********************************************************************************************** * * *** *** ******** * ***** ** _____________a) 167381b) ******** 3347619d) ********* ************* ********** *** ******* *** The ********** ********** ****** ******** ANOVA)Difficulty: ************** ********** **** **** * completely randomized ****** using a ******* analysis ** ************ Medical ******* ** a specialized ******** ****** ******* focused ** ******* artwork *** CEO ******** ******* ****** **** artwork has ******* effects for ******** staying ** a ******** as ******** ** ******* length ** **** Her ******* ****** ** * children’s ****** ******** ******** ** ********** in determining *** ****** ** three ********* ****** of ******* ******* ** ******** *** chooses ***** ********* (a ***** ***** a bright ******** and a ***** ***** ****** and ******** ******* *** ******** ***** ** **** painting ******** of Kathleen's **** ******* the ********* ***** table Source ** VariationSSdfMSFTreatment334761921673819457912Error2654618151769745Total600223717 Using * = *** *** *********** ******** ** *************** ****** *** **** hypothesis * 1= * ** m *** ****** *** null ********** m *** m 2¹ * *** ** *** ****** *** null ********** * *** m *** * 3d) ** not ****** the null ********** * *** * *** m *** ****************** ********** *** ******* 112 The ********** ********** ****** ******** ANOVA)Difficulty: ************** ********** **** **** a ********** ********** design ***** * ******* ******** ** ************** Pate's ******** *** ******** * ******** chain ** 120 ********** **** pharmacy's floor plan ******** * greeting **** department ***** ** relatively ******** ****** Royo ********* ******* feels **** *** ***** of ******** ** *** ******** card ********** *** affect sales ** **** ********** *** chooses ***** levels ** ******** ***** ****** *** ******* and ******** assigns six ********** ** **** lighting ***** ******** ** Sandra's **** ******* *** ********* ***** ************* ** **************************************************************************************** * * *** *** ******** F ***** ** _____________a) ****** ****** ***** ****** ********* ********** *** section *** The Completely ********** ****** (One-Way ***************** ************** ********** **** **** * completely ********** ****** ***** a one-way analysis ** variance 29 ****** Pharmacy Inc operates * ******** ***** ** *** ********** **** ********** ***** plan includes a ******** card ********** which ** ********** isolated ****** **** ********* Manager feels that *** level ** ******** ** *** greeting card ********** *** affect ***** ** **** ********** *** chooses ***** ****** of ******** ***** ****** and ******* and ******** ******* six pharmacies ** **** ******** ***** ******** ** ******** **** yielded the ********* ***** ************* ** **************************************************************************************** a * *** *** ******** * ***** ** *************** ******* 01333c) ******* ******* 1000 Ans: ********** *** ******* *** *** ********** Randomized ****** ******** ***************** MediumLearning ********** **** **** * ********** ********** design ***** * ******* analysis ** variance 30 ****** ******** *** operates * ******** ***** ** 120 pharmacies Each ********** ***** **** includes * greeting **** department ***** ** ********** ******** Sandra **** Marketing ******* ***** **** *** ***** of lighting ** the ******** **** ********** may ****** sales ** **** ********** *** chooses ***** ****** ** ******** (soft ****** *** ******* *** ******** assigns *** ********** to **** ******** level ******** ** ******** data yielded *** ********* ***** ************* ** VariationSSdfMSFTreatment360833321804167 Error1359167159061111 Total1720017 Using a = *** *** *********** ******** ** *************** ** *** reject *** **** ********** * 1¹ * *** m *** ** not ****** *** **** ********** m ** m 2= * 3c) ****** *** null ********** m *** m 2 ³ * *** ****** *** **** ********** m 1£ * *** * 3e) inclusive Ans: ********** *** ******* *** *** Completely ********** ****** (One-Way ***************** ************** ********** 112: Test a ********** randomized ****** using * one-way analysis ** **************** ******** *** is * ********* ******** **** ******** ** ******* *** ***** ** *** ******** Kevin Conn ***** Director ***** **** *** style (color ****** ******** ***** **** ** * Web site *** ****** *** sales ** chooses three ****** ** ****** style ***** *** world and ************** and ******** ******* *** ******* *** ***** ** **** design ***** Kevin's ************ ****** ** * ________a) ********* ******** ****** block designc) completely ********** ******** ********** ***** ******** ********* ********** design Ans: cResponse: *** ******* *** *** ********** ********** ****** ******** ***************** MediumLearning Objective: **** **** * completely ********** design ***** a ******* analysis ** variance 32 ******** *** is * specialty e-tailer **** operates ** catalog Web ***** ** *** ******** ***** **** ***** ******** ***** that the ***** ****** ****** ******** ***** **** of a Web **** *** ****** *** ***** He ******* ***** levels ** ****** ***** ***** *** ***** and ************** *** randomly assigns *** ******* Web ***** ** **** ****** ***** ******* **** ********** is _____________a) * 1³ * *** * *** * *** * *** * *** m ** * 2= m *** * 1£ * *** m *** * *** * **** m ******* ********** *** section 112 *** Completely Randomized ****** ******** ***************** ************** Objective: **** **** * ********** ********** design using * ******* ******** ** **************** BigShots *** ** * ********* e-tailer **** ******** ** catalog Web ***** ** *** ******** Kevin **** Sales Director ***** that the ***** ****** ****** graphics fonts **** of * *** site *** ****** *** ***** He ******* ***** ****** ** ****** ***** (neon *** world *** sophisticated) *** randomly ******* *** ******* *** ***** ** each ****** ***** ******** ** ******* **** ******* *** following ***** table Source ** *********************** ********************************** *********************************************** * * *** *** appropriate decision ** _____________a) ************** ****** *** **** ********** * *** * 2¹ m *** ****** *** null ********** * ** * ** * *** ** *** ****** *** null hypothesis * *** m *** * 3e) ** *** ****** *** **** ********** * 1£ * *** * ******* cResponse: *** ******* 112 *** ********** ********** Design (One-Way ***************** ************** Objective: **** **** * ********** ********** ****** using a ******* ******** ** variance 34 ******** *** is a specialty e-tailer **** ******** ** ******* Web ***** on *** ******** ***** Conn ***** ******** ***** **** *** ***** ****** ****** ******** ***** etc) of * *** **** *** ****** its ***** ** ******* ***** ****** ** design ***** ***** *** world and ************** *** ******** assigns *** ******* Web ***** to each ****** ***** ******** ** Kevin's **** yielded *** ********* ***** ************* ** *********************** Groups681023323405117 Within Groups2917767151945178 Total9728017 Using * * *** the ******** F ***** ** _____________a) ***** ****** ***** ****** ********* ********** *** ******* 112 *** ********** Randomized Design ******** ANOVA)Difficulty: MediumLearning ********** 112: Test a ********** ********** design ***** * ******* ******** ** variance 35 ******** *** is * ********* ******** that ******** 87 catalog *** ***** ** the ******** ***** Conn ***** ******** ***** **** *** style (color scheme ******** ***** **** of a *** **** may ****** *** ***** ** ******* ***** ****** ** ****** style (neon *** ***** *** ************** and randomly ******* *** catalog *** sites ** **** ****** ***** ******** ** ******* data ******* the following ***** table Source ** *********************** ***************************** Groups2917767151945178 Total9728017 Using * * *** the ******** * ***** ** _____________a) 05022b) ******* ******* ******** ************ ********** *** ******* *** *** ********** ********** ****** ******** ***************** MediumLearning Objective: **** **** * ********** ********** ****** using * ******* ******** of variance 36 ******** *** ** a ********* e-tailer **** ******** ** ******* Web ***** ** *** Internet Kevin **** ***** Director ***** that *** ***** (color scheme ******** ***** **** ** * *** **** *** ****** its ***** ** ******* three ****** of ****** style ***** *** world *** sophisticated) and ******** assigns *** ******* *** sites to each ****** ***** ******** of ******* **** ******* the following ***** ************* ** *********************** ***************************** ********************************************** a * *** the *********** ******** ** *************** ** *** ****** the null ********** * ** * 2= **** do *** ****** *** **** ********** * 1¹ * *** **** ****** *** null ********** * 1³ m 2 ³ * *** ****** *** null hypothesis * *** * 2£ * *** ** ************* ********** See ******* 112 *** ********** ********** ****** ******** ***************** MediumLearning ********** 112: **** * ********** randomized ****** using * ******* analysis of **************** Cindy ** VP of Finance ** ******** ********** *** (DCI) ********* that *** ******** ***** offered to ****** customers ******* *** average ********** period ** ****** ***** *********** *** has designed ** experiment ** test *** ****** ***** **** ***** ******** ***** *** ** 4% *** *** ** ******** ********* **** ********* ** **** ***** discount **** Cindy's ************ design is a ________a) factorial ******** ****** ***** ******** completely randomized ******** normalized ***** ******** incomplete ***** ************ ********** *** ******* *** The ********** ********** Design (One-Way ****** Difficulty: ************** ********** **** **** * ********** randomized design ***** * ******* ******** ** ************** ***** ** ** ** ******* ** ******** Components *** (DCI) ********* **** the ******** ***** offered ** ****** ********* ******* the ******* ********** period ** credit ***** Accordingly *** has ******** ** experiment ** test *** theory ***** **** ***** ******** ***** (0% 2% 4% and 6%) by ******** ********* **** customers to **** ***** ******** rate In ******* ********** ******** ********** period" is ________a) the ********* ********** a ********* ********** a ******** ********** a *********** ********** * ************** ********** See ******* *** The ********** ********** Design (One-Way ANOVA) Difficulty: ************ Objective: 112: **** a completely randomized design ***** * one-way analysis ** **************** ***** Ho ** of ******* ** Discrete Components *** ***** ********* **** the ******** ***** ******* ** ****** customers ******* the ******* ********** ****** ** credit sales *********** she *** ******** ** ********** ** **** her ****** using **** ***** ******** ***** (0% ** ** *** 6%) ** randomly ********* **** ********* to **** sales discount **** ** Cindy's ********** ****** discount ***** ** ******** *** ********* ********** * ********* ********** * ******** ********** a *********** ********** * ************** bResponse: *** ******* 112 The ********** Randomized Design ******** ANOVADifficulty: ************** ********** **** Test a completely ********** design ***** * ******* ******** ** ************** ***** ** ** ** ******* ** Discrete ********** Inc ***** ********* **** *** ******** ***** offered ** credit ********* ******* the ******* ********** period ** ****** ***** *********** she *** designed ** ********** ** **** *** ****** using four ***** ******** ***** *** ** ** *** *** ** ******** ********* **** customers ** each ***** ******** **** ******* **** ********** ** ______a) *** *** *** *** **** m1¹ ******** **** **** **** **** **** m4d) m1= *** m3= **** m1≠ *** *** m4 Ans: ********** *** section *** *** ********** ********** ****** ******** ***************** ************** ********** **** **** * ********** randomized ****** ***** a one-way ******** of **************** ***** ** VP ** ******* ** ******** ********** *** (DCI) ********* **** the ******** ***** offered ** credit customers ******* *** ******* ********** ****** ** ****** sales Accordingly *** has designed ** ********** ** **** *** ****** ***** **** ***** discount rates (0% 2% ** *** *** ** ******** ********* **** customers ** each ***** discount **** An analysis of ******* **** produced *** ********* ***** table Source ** VariationSSdfMSFTreatment18442361473337568277Error129961681225 Total3143819 Using * = *** *** *********** ******** ** *********** ****** *** null ********** m1= *** m3= **** ****** *** null ********** m1¹ m2¹ **** **** ** *** reject *** **** ********** *** m2= m3= m4= **** do not ****** *** null ********** m1¹ **** ******** m5e) ** ************* ********** *** ******* 112 *** ********** ********** ****** ******** ANOVA)Difficulty: ************** ********** **** **** a ********** ********** ****** ***** * ******* ******** ** **************** ***** ** VP ** ******* ** ******** ********** Inc (DCI) ********* **** the discount ***** ******* ** ****** ********* ******* *** ******* ********** period ** ****** ***** Accordingly she *** ******** ** ********** ** **** her ****** ***** **** ***** discount ***** (0% ** 4% *** *** ** randomly ********* five ********* ** **** sales ******** **** An ******** ** Cindy's data ******** *** following ***** ************* ** ******************************************************************************* a = *** the ******** * ***** is *********** ***** ***** ***** 529e) 689 Ans: dResponse: *** ******* *** The Completely ********** ****** ******** ***************** ************** Objective: 112: **** a completely ********** ****** ***** a ******* ******** ** variance 43 Cindy Ho ** ** Finance at ******** Components *** ***** ********* **** *** ******** level ******* ** credit ********* affects the ******* ********** ****** on credit ***** *********** *** *** designed ** experiment ** test *** ****** using **** ***** ******** ***** *** 2% ** *** *** ** ******** ********* five ********* ** each ***** ******** rate ** analysis ** ******* data ******** *** following ***** table Source ** VariationSSdfMSFTreatment53531783333 Error17721611075 Total1825519 Using * * 001 the ******** * ***** is *********** ******* 01610c) ******* 53333e) 49873 Ans: ********** See ******* *** The Completely ********** Design ******** ***************** ************** Objective: 112: **** * completely randomized ****** using a one-way ******** of **************** Cindy ** ** ** ******* at ******** ********** Inc ***** ********* that *** discount ***** offered to ****** ********* affects *** ******* collection ****** ** credit ***** *********** she *** ******** ** ********** ** **** *** ****** ***** **** sales ******** ***** *** ** ** *** *** ** ******** assigning **** ********* ** **** sales ******** rate ** ******** of ******* **** ******** *** ********* ***** ************* ** VariationSSdfMSFTreatment53531783333 Error17721611075 Total1825519 Using * * 001 *** *********** ******** ** *********** reject *** **** ********** *** *** *** m4b) ****** *** null ********** m1¹ m2¹ **** m4c) ** *** ****** *** **** ********** m1= *** m3= **** do *** ****** *** **** ********** **** m2¹ ******** ** ************* ********** See ******* 112 The ********** Randomized ****** ******** ***************** MediumLearning ********** 112: **** * ********** ********** ****** ***** * one-way ******** ** **************** Suppose * researcher **** ** * ****** in ***** there *** five different ********** and a ***** ** ** ************ in *** study For ***** * ** *** critical ***** * ***** ** ____a) ***** 378c) ***** ***** ********* ********** See section *** *** Completely Randomized ****** (One-Way ***************** ************** ********** 112: Test * ********** ********** ****** using * one-way ******** ** **************** **** **** * ********** randomized design *** ***** ** *** ********* tableTreatment Level123272627262229232127242326 For * one-way ***** *** ***** Sum of ******* (SST) ** ********** ****** ****** 6492d) ****** ********** ********** *** ******* *** *** ********** ********** ****** ******** ***************** ************** ********** **** **** a ********** randomized design using a ******* ******** of **************** Data **** a completely ********** ****** *** ***** ** *** ********* ************** ************************************* * ******* ***** *** ******* Sum ** Squares **** is ________a) ****** ****** ****** ****** 2804 Ans: aResponse: *** section *** The ********** ********** ****** (One-Way ANOVA)Difficulty: MediumLearning ********** **** **** a completely ********** design using * ******* ******** of variance 48 **** from a completely ********** ****** *** ***** ** *** following tableTreatment ************************************* a one-way ANOVA *** Error Sum ** Squares (SSE) ** ********** ****** 2875c) ****** ****** 2804 Ans: bResponse: See ******* *** *** ********** ********** ****** ******** ANOVA)Difficulty: ************** ********** 112: **** * ********** ********** design ***** * ******* ******** ** variance 49 **** **** * ********** ********** design *** ***** in *** ********* ************** Level123272627262229232127242326 For a ******* ***** ***** * * *** the ******** * ***** is ********** 386b) ***** 1938d) ***** ******** ********** See ******* *** *** Completely Randomized Design (One-Way ***************** ************** Objective: **** Test a completely ********** ****** using * ******* analysis of **************** **** from * completely ********** design *** ***** in *** ********* ************** ************************************* * one-way ANOVA using * * *** the ******** F ***** ** ________a) ***** 319c) ****** 434e) 898 Ans: aResponse: *** ******* *** *** Completely Randomized Design (One-Way ***************** ************** ********** **** **** * completely ********** ****** using * one-way ******** ** variance 51 **** **** * ********** ********** design *** ***** ** *** ********* ************** Level123272627262229232127242326 For * one-way ***** ***** * * 005 the appropriate ******** ** ________a) ** *** ****** *** **** hypothesis m1³ **** **** ** not ****** the **** hypothesis m1£ **** **** ****** the null ********** *** *** **** reject *** **** ********** **** m2¹ m3e) ** not ****** *** **** hypothesis m1¹ **** ******** ********** *** section 112 *** ********** ********** ****** (One-Way ***************** MediumLearning ********** **** **** * ********** randomized ****** using a one-way analysis ** variance 52 For *** following ***** ***** *** **************** is ******************* ** ************************************************************** *** **** 115d) ***** 150 Ans: ********** *** ******* *** *** ********** ********** Design ******** ANOVA)Difficulty: ************ Objective: 112: Test * ********** ********** ****** ***** * ******* ******** of variance 53 *** *** ********* ANOVA table *** MS ********* value ** ___________ Source ** ************************************************************** 150b) 50c) ***** 349e) ******** bResponse: See section *** *** ********** Randomized ****** ******** ANOVA)Difficulty: EasyLearning Objective: 112: **** * completely ********** ****** using * ******* ******** ** variance 54 *** *** following ANOVA table *** ** Error ***** is ___________ Source ** ************************************************************** **** **** ***** *** ********* dResponse: See ******* *** *** ********** ********** ****** ******** ***************** ************ ********** **** **** a ********** ********** ****** ***** * ******* analysis of **************** *** *** following ***** ***** *** ******** * ***** is ******************* ** ************************************************************** ******* **** **** ***** ********* cResponse: *** ******* 112 *** ********** ********** ****** (One-Way ANOVA)Difficulty: ************ ********** 112: **** * completely ********** ****** ***** a one-way ******** of **************** *** *** ********* ***** ***** *** ************ ** ******************* ** ************************************************************** *** **** **** 64e) ******** ********** *** section 112 The ********** ********** ****** (One-Way ***************** ************ ********** 112: **** a completely randomized ****** ***** * ******* ******** ** **************** *** *** ********* ANOVA table *** MS ********* ***** ** ******************* ** ************************************************************** **** ***** 76d) 84e) 360 Ans: ********** *** ******* *** *** ********** Randomized ****** ******** ***************** EasyLearning ********** **** **** * ********** randomized ****** using a ******* ******** ** variance 58 *** *** ********* ANOVA ***** *** MS ***** ***** is ******************* ** VariationSSdfMSFTreatment 4 Error360 Total44016 a) ****** ***** ***** 30e) 4 Ans: ********** *** ******* *** *** ********** ********** ****** ******** ***************** ************ ********** **** **** * completely randomized design using a ******* ******** ** variance 59 For *** ********* ANOVA table the ******** * ***** is ___________ Source ** ************************************************************** 067b) ***** ***** ***** ********* ********** *** ******* 112 The Completely ********** Design (One-Way ***************** ************ ********** **** Test * ********** ********** ****** ***** * ******* analysis ** variance 60 *** *** following ANOVA table the ******** ***** ** the studentized ***** ************ ***** a = 005 is ************** ** *********************************************************************** ***** ***** 917d) ***** ********* ********** *** ******* *** Multiple ********** TestsDifficulty: MediumLearning ********** **** *** ******** ********** ********** ********* ********* honestly *********** ********** test *** *** ************ procedure to test *** ********** ** *** treatment ***** **** there ** ******* *********** ********** ******* ****************** *** *** following ***** ***** *** HSD value assuming ***** ****** ***** *** using * * *** ** ************** ** *********************************************************************** ***** ***** ***** ****** ********* ********** See ******* *** ******** ********** TestsDifficulty: ************** ********** 113: Use multiple ********** techniques including ********* ******** *********** difference **** *** *** ************ ********* ** **** the ********** in *** ********* ***** when there is ******* significant difference ******* treatments 62 *** *** ********* ***** ***** *** ******** ***** ** *** *********** range ************ using * = *** is ************** ** VariationSSdfMSFTreatment0123320061651566311Error0590415003936 Total0713717 a) 301b) 367c) ***** ***** ********* ********** *** section *** Multiple ********** **************** ************** Objective: **** Use ******** ********** techniques ********* ********* ******** *********** ********** **** and *** ************ procedure ** **** *** ********** ** *** treatment ***** **** ***** ** ******* *********** difference ******* **************** *** *** ********* ANOVA table the *** ***** ****** equal sample sizes *** ***** * = *** is ************** ** VariationSSdfMSFTreatment0123320061651566311Error0590415003936 Total0713717 a) ***** ***** 048d) ***** ********* ********** *** ******* 113 ******** Comparison **************** ************** ********** 113: Use ******** comparison ********** ********* ********* ******** significant difference test and *** Tukey-Kramer ********* ** test *** ********** ** *** ********* ***** **** there ** ******* *********** ********** ******* ********************** ******** *** ** a specialty ******** **** ******** ** catalog Web sites on *** ******** ***** **** Sales Director ***** **** *** ***** (color ****** ******** ***** **** ** a *** **** *** ****** *** ***** ** ******* ***** levels ** design ***** ***** *** world *** ************** *** ******** ******* *** catalog Web ***** to **** ****** ***** ** ******* experiment "sales ** * *** ***** is ********* * ******** ********** a *********** ********** * treatment variabled) the ********* ********** the *********** ************** ********** *** ******* 114 The ********** ***** ***************** MediumLearning ********** **** Test * ********** ***** design which ******** * ******** ******** ** ******* *** *********** *************** ***** ** ** ** Finance ** ******** ********** *** ***** ********* **** *** ******** ***** ******* to ****** customers ******* the ******* ********** ****** ** ****** sales *********** *** *** designed an ********** to **** *** ****** ***** **** ***** ******** ***** (0% 2% ** and *** ***** wants to ******* *** the **** ** *** customer *** *** ** test for ** ** *** **** variable ** ******** so *** ********** ***** credit ********* into three ********** ** ***** assets ****** ****** and ****** Then *** randomly ******** four customers from **** ******** ** a sales ******** **** ******* ************ ****** ** * ________a) ********** ***** designb) ********** ********** ******** ********* ******** ****** ***** designe) partially randomized ************ ********** See ******* *** The ********** ***** DesignDifficulty: ************ Objective: **** **** * ********** ***** ****** ***** ******** a ******** variable ** control *** confounding ***************** ***** Ho VP of ******* ** ******** ********** *** ***** ********* that *** ******** ***** ******* to ****** customers ******* the average ********** period ** credit ***** *********** *** *** ******** ** ********** to **** *** ****** using **** ***** ******** rates (0% ** ** and 6%) ***** *** ********** ***** ****** customers into ***** categories ** ***** assets ****** ****** *** ****** **** *** ******** assigned **** customers **** each ******** to * ***** ******** rate ** ******* ********** ******** ********** ******* ** ********** * *********** ********** *** ********* ********** * ********* ********** a ******** variablee) * ************** ********** *** ******* *** *** Randomized ***** DesignDifficulty: EasyLearning Objective: **** Test * ********** ***** ****** ***** ******** * ******** ******** ** ******* *** *********** ***************** ***** Ho VP ** ******* ** Discrete ********** *** (DCI) theorizes that *** ******** ***** offered ** ****** ********* ******* *** average ********** ****** ** ****** ***** *********** *** *** ******** an experiment ** **** *** ****** ***** **** sales ******** ***** (0% ** ** *** *** ***** ***** ** ******* *** *** size ** *** ******** *** *** ** test for ** ** the **** ******** ** ******** ** *** ********** ***** ****** ********* **** ***** ********** ** ***** assets ****** medium and ****** **** she randomly ******** **** ********* from **** category to a ***** ******** **** ** ******* ********** ****** ***** **** ** ****** ********* is ________a) * surrogate ********** *** ********* variablec) * blocking ********** * ********* ********** * ************** ********** *** ******* *** *** Randomized Block ***************** ************ Objective: **** Test a randomized ***** ****** which includes a ******** variable ** ******* *** *********** variables 68 ***** Ho VP ** Finance at ******** Components *** ***** ********* **** *** ******** ***** ******* ** ****** ********* affects the ******* ********** ****** on credit sales Accordingly *** *** ******** ** ********** ** test *** ****** using **** sales ******** ***** (0% ** ** *** 6%) ***** *** classified DCI's credit ********* **** three ********** ** ***** assets ****** ****** *** ****** **** *** randomly assigned **** ********* **** **** ******** ** a ***** ******** **** In ******* ********** "sales ******** ***** ** ________a) * ********* ********** *** ********* ********** a ******** ********** * ********* ********** * ************** dResponse: *** ******* *** *** ********** ***** DesignDifficulty: ************ ********** **** Test * ********** ***** design ***** ******** a blocking variable to ******* *** *********** ***************** Cindy ** ** ** ******* ** Discrete ********** *** ***** theorizes **** *** discount ***** ******* ** ****** ********* affects *** ******* ********** ****** ** ****** sales Accordingly *** has ******** ** experiment ** **** her ****** ***** **** sales ******** ***** *** ** ** and *** ***** *** ********** ***** ****** ********* into three ********** ** ***** ****** (small ****** and ****** Then she ******** ******** four ********* **** each ******** ** * sales ******** rate ******* **** ********** is ********** * *** * *** * 3 ** m *** * 1³ * *** * *** * *** * 1= * ** m * * * *** * *** m 2£ m 3£ * *** * *** * 2≥ * *** * 4 Ans: ********** *** section *** *** ********** ***** ***************** ************ Objective: 114: **** a ********** block ****** which ******** * ******** variable to ******* for *********** ***************** Cindy ** ** of ******* ** ******** ********** Inc (DCI) ********* **** *** discount ***** offered ** ****** customers affects *** ******* collection ****** on ****** ***** *********** she *** ******** ** experiment ** **** *** ****** ***** **** sales ******** rates *** ** 4% and *** ***** she ********** ***** ****** customers **** three ********** by ***** ****** ****** medium *** large) **** she randomly ******** four ********* from **** category to * ***** ******** rate ** ******** ** ******* data yielded *** ********* ***** table Source of VariationSSdfMSFTreatment6491667321638898752809Block10525252123596Error148333362472222 Total902511 Using * * 005 *** *********** decision for treatment ******* is ________a) ****** the **** ********** * 1= * ** * * = * *** ****** the null ********** * *** * *** * * ** m *** do *** reject *** **** ********** m *** * 2³ * *** * *** ** *** ****** the null hypothesis * *** m *** * *** m *** ** ************* aResponse: *** section 114 *** Randomized ***** ***************** ************** ********** **** **** * randomized ***** ****** ***** includes * ******** ******** to control for confounding ***************** ***** ** VP of Finance ** ******** ********** Inc ***** ********* that *** ******** level ******* ** credit customers ******* *** average collection period ** ****** ***** *********** she has designed an ********** to test *** ****** ***** **** sales ******** ***** *** 2% 4% *** *** First she ********** DCI's credit customers **** ***** ********** ** ***** ****** ****** ****** *** ****** **** she ******** ******** four ********* from **** category ** * ***** ******** **** ** ******** ** Cindy's **** ******* *** ********* ***** ************* ** ************************************************************************************************************** * * *** *** *********** ******** for ***** ******* is ********** ** not ****** *** **** hypothesis m *** * *** * *** ** not ****** *** null hypothesis * ** * 2= * *** ****** *** **** ********** * *** m *** * *** ****** *** **** hypothesis * *** * *** m *** do ************* ********** *** ******* 114 The Randomized ***** ***************** MediumLearning Objective: **** **** * ********** block ****** which ******** * blocking variable ** ******* for *********** variables 72 **** from * randomized block design *** ***** ** the ********* ****************** Levels 1234Block *********** ********** ********** ***** *** of ******* ***** is ********** ***** 12c) ***** ****** 11 Ans: dResponse: *** ******* *** *** Randomized ***** DesignDifficulty: ************** ********** **** Test a ********** ***** design which ******** * blocking ******** to control *** confounding ***************** **** **** * ********** block ****** *** ***** in *** following table Treatment ***************** *********** 26695Block ************** Treatment *** ** ******* ***** is ********** ***** 12c) ***** ****** ******** bResponse: *** ******* 114 *** ********** ***** ***************** ************** ********** **** **** a ********** block ****** ***** includes * ******** variable ** control *** confounding ***************** **** **** * ********** block design *** ***** in *** ********* ****************** ***************** *********** 26695Block 37889 The ****** Sum ** ******* ***** ** ********** ***** **** 233d) ****** ******** ********** *** section *** *** ********** ***** ***************** ************** ********** 114: **** * ********** block ****** which includes * ******** ******** ** ******* *** confounding variables 75 Data from a ********** ***** ****** are ***** ** *** ********* ******************** Levels 1234Block *********** 26695Block 37889 The ***** *** ** ******* ***** ** ________a) ***** **** ***** ****** ******** ********** *** ******* *** The ********** Block DesignDifficulty: ************** Objective: **** Test a ********** ***** ****** ***** ******** * ******** ******** ** ******* *** *********** ***************** **** **** * randomized block design *** ***** in the ********* table Treatment ***************** *********** ********** ************** * * 005 *** ******** * ***** *** the ********** **** ********** is ********** ***** 476c) ***** ***** ********* ********** *** ******* 114 *** Randomized ***** DesignDifficulty: ************ Objective: **** **** a randomized ***** design which ******** * blocking variable to ******* *** *********** variables 77 Data **** * ********** ***** design *** ***** in *** ********* table Treatment ***************** *********** ********** ************ a * *** the ******** * ***** *** *** ********** **** hypothesis is ******* ***** ***** ***** ***** 200 Ans: ********** *** section *** *** ********** ***** ***************** HardLearning ********** **** Test * randomized block ****** ***** ******** * ******** ******** ** ******* *** *********** variables 78 **** from a ********** block ****** *** ***** ** *** ********* table Treatment ***************** *********** ********** 37889 Using * * *** *** *********** ******** *** *** ********** ** ********** ** *** reject the **** ********** * ** * ** * *** ** *** ****** the null ********** m ** * ** m 3 * * *** ** *** ****** *** **** hypothesis * 1³ m *** * *** * *** ** *** ****** *** **** hypothesis * *** * *** * *** ** ************* ********** *** ******* *** The ********** Block ***************** ************ ********** **** **** * ********** ***** design ***** ******** * ******** variable ** ******* *** *********** ***************** **** **** a ********** ***** design are ***** ** *** following table Treatment Levels 1234Block *********** ********** 37889 Using * * *** the ******** * value *** the ******** ******* **** hypothesis ** ********* 359b) ***** ***** 514e) ********* ********** *** ******* *** *** ********** ***** ***************** ************ Objective: **** **** * ********** ***** design ***** includes a ******** variable to ******* for *********** ***************** **** **** * ********** ***** ****** are ***** ** the following table Treatment ***************** *********** 26695Block *********** * * *** *** ******** F ***** *** *** ******** ******* null ********** ****** ***** ***** ***** ***** 200 Ans: ********** *** ******* *** *** ********** ***** ***************** HardLearning ********** **** **** * randomized ***** design ***** ******** * ******** variable ** ******* for confounding ***************** **** from * ********** block design are ***** ** *** ********* ******************** Levels 1234Block *********** 26695Block ************ * * 005 *** *********** ******** *** *** ******** ******* ** ********** ****** *** **** hypothesis m *** * *** m *** ** *** ****** *** **** ********** m *** * *** m *** do *** reject *** **** ********** * 1= * ** * *** reject *** null hypothesis * *** m *** * *** do ************* cResponse: *** section *** *** ********** ***** ***************** ************ Objective: **** Test * ********** block ****** which ******** a ******** ******** ** ******* *** confounding ***************** ***** ********* ******** ***** *** * new ***** ***** ***** ******* VP of ********** at ****** ********* Inc ******** ** ********** to test *** ******* ** ************* ****** *** "training ******* ** *** ************ ** ********* *** ********* levels ***** (1) ************* *** participatory *** ************ ***** *** (2) ********* manuals ******** films and ********** for ******** ****** ***** ********* applicants **** ******** ******** and ******** ** **** ** the six ***** Colin's ************ ****** ** *************** ****** block ******** ********** ***** ******** ********** ********** ******** ********* designe) ********** ************ dResponse: *** section 115 Factorial Design ******** ANOVA)Difficulty: MediumLearning ********** **** **** * ********* ****** ***** * two-way analysis ** ******** ****** the ********** *** ************ ** **** a design *** ********** for ******** *********** ******* *** treatment ***************** While reviewing staffing ***** for a *** pilot ***** Colin Chenaux ** ** ********** at ****** Chemicals *** ******** ** ********** to **** *** ******* ** "supervisor's style" and ********* ******* on *** ************ ** ********* *** treatment ****** were: *** authoritarian *** ************* for supervisor's ***** *** *** ********* ******* training ***** *** ********** *** training ****** ***** ********* applicants **** ******** ******** *** ******** ** **** ** *** six ***** ** Colin's ********** ********* ************* ** _____________a) * *********** ********** * treatment ********** *** ********* ********** * ******** ********** a ************** ********** See ******* *** ********* Design (Two-Way ***************** ************** Objective: 115: Test * ********* design ***** * ******* ******** of variance ****** *** ********** *** ************ ** **** * design *** ********** *** possible interaction ******* *** treatment ***************** ***** reviewing ******** ***** for a *** ***** ***** ***** Chenaux VP ** ********** at ****** ********* Inc ******** ** ********** ** **** *** ******* ** ************* ****** *** ********* method" ** the ************ ** ********* *** ********* levels ***** *** authoritarian *** ************* *** ************ ***** *** *** technical ******* training films and multimedia *** training ****** ***** qualified ********** **** ******** ******** *** ******** to each ** *** six ***** ** ******* experiment "training method" ** *************** * ********* variableb) * surrogate ********** *** ********* ********** a ******** ********** a ************** ********** *** ******* 115 ********* ****** ******** ***************** ************** Objective: **** Test a factorial design using * ******* analysis of ******** ****** the ********** *** ************ ** such * design and ********** *** ******** *********** ******* two ********* ***************** ***** ********* ******** plans *** a new ***** ***** Colin ******* ** ** ********** ** Clovis ********* Inc ******** an experiment ** test *** ******* of ************* ****** *** "training ******* on *** ************ ** ********* *** ********* ****** ***** *** ************* and ************* for ************ ***** *** *** technical manuals training films *** multimedia *** training ****** ***** ********* applicants **** randomly ******** *** assigned ** **** ** the *** ***** In ******* experiment "supervisor's ****** is *************** *** dependent variableb) * blocking ********** a ********* ********** * ********* ********** a ************** ********** *** ******* *** ********* Design ******** ***************** MediumLearning ********** **** **** * ********* ****** using * ******* ******** of ******** ****** the ********** *** applications ** **** * ****** *** ********** *** ******** *********** ******* *** ********* ***************** ***** ********* ******** plans *** * new ***** ***** ***** ******* ** of ********** ** ****** ********* Inc ******** an experiment ** **** *** effects ** ************* ****** *** "training method" ** *** productivity ** ********* *** ********* ****** ***** *** ************* and ************* *** supervisor's ***** *** *** technical ******* ******** ***** and ********** for ******** ****** ***** ********* ********** **** ******** ******** *** ******** ** **** ** *** *** cells ******* **** hypothesis *** training methods ** *************** * ** m ** * *** * *** * 2¹ * *** * *** * *** m *** * 1£ m *** * *** * 1£ * **** * ******* ********** *** section 115 ********* ****** ******** ***************** ************ ********** 115: **** * ********* design ***** * ******* ******** ** variance ****** *** advantages and applications ** **** a design and ********** for possible interaction ******* two ********* variables 87 While reviewing ******** ***** *** a *** ***** ***** ***** ******* ** ** ********** ** ****** ********* *** ******** ** ********** ** test *** effects of "supervisor's ****** *** ********* method" ** *** productivity ** ********* *** ********* ****** ***** *** ************* *** ************* *** ************ ***** and *** technical ******* training films and ********** *** ******** ****** ***** qualified applicants **** ******** ******** *** ******** ** **** ** *** *** ***** ******** of ******* data ******** the ********* ***** table Source of ******************** ************* ********************************** ********* *************************************************************************************************************** * = ** the appropriate ******** for ********* method" effects ** _____________a) reject the **** ********** * ** * ** * 3b) reject *** **** ********** * *** * *** * *** ** *** ****** *** **** ********** m ** * *** ** *** reject *** **** ********** m *** m *** ** nothing Ans: aResponse: See ******* *** Factorial Design ******** ***************** ************** Objective: **** **** * ********* ****** using * ******* ******** of ******** noting *** ********** *** ************ ** **** * design *** ********** for ******** *********** ******* two ********* ***************** ***** ********* ******** ***** *** a *** pilot plant Colin ******* VP ** ********** at Clovis ********* *** designed ** ********** ** **** *** ******* ** "supervisor's ****** *** ********* ******* on the ************ of operators *** ********* ****** ***** *** authoritarian *** ************* *** ************ ***** *** (2) ********* ******* ******** ***** *** ********** *** ******** ****** ***** qualified applicants were ******** ******** *** ******** to **** ** *** *** ***** ******** of ******* **** ******** the following ***** table Source ** VariationSSdfMSFRows ************* ********************************** (training *************************************************************************************************************** * * 05 the *********** ******** *** "supervisor's style" ******* is *************** ****** *** **** ********** * ** * ** * *** ** *** ****** the null ********** m ** * ** * 3c) ****** the **** hypothesis m 1= * 2d) ** not reject *** **** ********** * ** * *** ** ************* ********** See ******* *** ********* ****** (Two-Way ***************** ************** ********** **** **** * factorial ****** ***** * two-way ******** ** ******** noting *** ********** *** applications ** such * ****** and ********** for ******** *********** between two ********* ************* ******** *** is * ********* ******** **** ******** 87 ******* *** ***** ** *** ******** Kevin **** ***** ******** ***** that *** ***** ****** ****** ******** fonts **** of * *** **** *** ****** *** sales ** chooses three levels ** ****** style ***** old ***** *** sophisticated) *** ******** assigns *** ******* *** ***** ** **** design style ** Kevin’s ********** "style" ** ********* the dependent variableb) * ********* ********** * *********** variabled) * blocking variablee) a response ************** bResponse: See ******* *** * ********* ****** ******** ***************** ************ Objective: **** **** * ********* ****** ***** a ******* ******** ** variance ****** the ********** *** ************ ** such * ****** *** accounting for possible *********** ******* *** ********* ********* 58 *** following ***** ********* * _______________ a) * ** 4 ********* design **** ************* * ** * ********* ****** **** ** ************* 4 ** 2 ********* design with interactiond) * ** 4 ********* ****** with no ************* ********** ***** ************ ********** *** ******* *** Factorial ****** ******** ***************** EasyLearning ********** **** Test * ********* ****** ***** * ******* analysis ** variance ****** *** ********** *** applications of such * ****** *** ********** *** ******** *********** ******* *** ********* ***************** The ********* graph indicates * ******************* * ´ * ********* ****** with interactionb) * ´ * ********* ****** **** interactionc) * ´ * ********* ****** **** ************* * ´ 2 ********* ****** **** ** ************* ********** randomized ************ ********** *** section 115 ********* ****** (Two-Way ANOVA)Difficulty: ************ Objective: **** **** a factorial ****** ***** a two-way ******** ** ******** ****** *** ********** *** ************ ** such * ****** *** ********** for ******** *********** ******* two ********* 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