Please check the attached file

QUESTION 1

1. What do we call a number that is generated by dividing ∑ by the N in a distribution?

QUESTION 2

1. What do we call the average of the middle two numbers or the middle number in a distribution?

QUESTION 3

1. What do we call the numerical distance or absolute value between two numbers at the top and bottom of a distribution?

QUESTION 4

1. Which of these do not belong with the other three (which is different)?

QUESTION 5

1. Suppose you obtained a Spearman rs of .52 between tennis ability and racquetball ability for a class of 14 college students.  For a two-tailed test, you can conclude that tennis ability and racquetball ability are significantly correlated at the .05 level.   

 True

 False

QUESTION 6

1. Drawing a sample from a population needs to be done randomly; otherwise, we will bias the portion of the population from which the sample is pulled.

 True

 False

QUESTION 7

1. As a general rule, qualitative research articles are shorter in length than quantitative studies because, it has been argued, that we humans cannot be reduced to mere numbers and conclusive statements.

 True

 False

QUESTION 8

1. In a chi square analysis, the sum of the observed frequencies is equal to the sum of the expected frequencies.

 True

 False

QUESTION 9

1. For a chi square test of independence, the null hypothesis is that the two variables are independent. 

 True

 False

QUESTION 10

1. An inferential statistic is different from a descriptive statistic because it yields results that generalize to a larger population while a descriptive statistics simply delineate certain parameters of a distribution of numbers.

 True

 False

QUESTION 11

1. Non-parametric test (Define and give at least one example.)

QUESTION 12

1. Give examples of what scenarios are best to use a paired sample t-test and when to use an independent sample t-test?

QUESTION 13

1. When is it best to use a Spearman rs test?

QUESTION 14

1. Provide an example of a scenario that would merit the use of a Z-test.

QUESTION 15

1. Null and Alternate Hypotheses??

QUESTION 16

1. A researcher hypothesized that gender was related to leadership style.  He surveyed 100 male school administrators and found that 50 reported transformational leadership style, and 50 reported transactional leadership style.  He surveyed 100 female school administrators and found that 70 reported transformational leadership style, and 30 reported transactional leadership style. 

What type of test should the researcher use to analyze the results?

Run the statistical test and analyze the results (accept or reject the hypothesis).  Be sure to include your narrative and report according to the powerpoints slides and Dissertation Handbook. 

QUESTION 17

1. Find the mean, median, mode, and range for the following data:

2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 7, 7

QUESTION 18

1. Here are data regarding class size and students meeting the state benchmarks on assessment.  Classes are ranked from smallest to largest (1-10), and classes with students passing the benchmarks are ranked from highest to lowest (1-10).  So the smallest class is ranked one, and the largest class ranked 10.  The class with most students passing the benchmark is ranked one, and the class with the least students passing the benchmark is 10. Is class size related to passing rate?

Select the appropriate test, compute the results, and analyze the data. Include an appropriate narrative and report according to class power point slides and the Dissertation Handbook.  

QUESTION 19

1. Please examine the distributions below.  They represent scores on students’ midterms in forensics.  Each class was taught by the same teacher, but she used a different teaching strategy.  Students’ pretest scores were not statistically different from each other, so we can assume that the different strategies may have produced different outcomes.  Are the scores different?  How would you rule out random chance in creating these distributions?

Select the appropriate test, complete it, and analyze the results.  Include an appropriate narrative and report per the class power point slides and the Dissertation Handbook. 

QUESTION 20

1. An education professor wanted to know if a new, required online tutoring program helped students improve their understanding of concepts.  He gave students a pre-test at the beginning of the semester, and then ended the semester with a post-test measuring the same information as the pre-test.  Please examine the data in the table below and explain which test would be best suited to a scenario in which the teacher wanted to know if the test scores were different from each other. Are the results significant? Is there anything else the professor needs to do to rule out random chance?

Select the appropriate test, complete it, and analyze the results.  Please include an appropriate narrative and report according to the class power point slides and the Dissertation Handbook.