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threeway anova 15 points sec 02 Variables Affecting Driving Performance For example, consider a hypothetical experiment concerning the driving ability of two different types of drivers – inexp
threeway anova 15 points sec 02
Variables Affecting Driving Performance
For example, consider a hypothetical experiment concerning the driving ability of two different types of drivers – inexperienced (A1) and experienced (A2). These people will drive on one of three types of roads – first class (B1), second class (B2), or dirt (B3) – under one of two different driving conditions – day (C1) and night (C2). Thus we have a 2x3x2 factorial. The experiment will include four participants per condition (for a total of 48 participants), and the dependent variable will be the number of steering corrections in a one mile section of roadway.
C1
C2
B1
B2
B3
B1
B2
B3
A1
4
23
16
21
25
39
7
15
27
14
33
44
6
21
23
19
38
48
10
13
16
26
29
43
A2
6
2
14
6
10
13
3
9
12
7
11
11
11
9
9
8
9
12
6
11
13
9
12
11
- Conduct the appropriate anova. Copy and paste the output below from your 2(driver Experience) x 2 (day/night) x 3(roadCondition) analysis if variance. from the analysis
- Answer the questions below based on the analysis.
a) What number is the average variance in each group ________?
b) What number is the variance among the main effect means of road condition ____
c) What number reflects the variance among the driver experience x road condition cell means that remains after the variance due to the main effect means of driver experience and road condition have been removed. _______
d) What number is the denominator for all F ratios?_______
e) How many df are found in any one of our 12 groups?___________
- The three way interaction is significant so that tells us that the impact of the condition of the road on driving performance depend upon the experience of the driver and whether they were driving during the day or night. Copy and paste the relvant means below from the output.
- In the space below examine whether the impact of road condition varies as a function of the combination of driver experience and day/night driving.
8. daynight * typedriver * typeroad
Dependent Variable: steercorrect
daynight
typedriver
typeroad
Mean
Std. Error
95% Confidence Interval
Lower Bound
Upper Bound
1.00
1.00
1.00
7.250
2.189
2.811
11.689
2.00
18.000
2.189
13.561
22.439
3.00
15.500
2.189
11.061
19.939
2.00
1.00
6.500
2.189
2.061
10.939
2.00
7.750
2.189
3.311
12.189
3.00
12.000
2.189
7.561
16.439
2.00
1.00
1.00
20.000
2.189
15.561
24.439
2.00
31.250
2.189
26.811
35.689
3.00
43.500
2.189
39.061
47.939
2.00
1.00
7.500
2.189
3.061
11.939
2.00
10.500
2.189
6.061
14.939
3.00
11.750
2.189
7.311
16.189
Conduct a 2(Driver Experience) x 3 (Road Condition) just for those who drive in the day copy and paste the results below.
Conduct a 2(Driver Experience) x 3 (Road Condition) just for those who drive in the night copy and paste the results below.
Construct the appropriate F ratio to test the Driver Experience x Road Condition interaction for those who drive in the day
F=
Construct the appropriate F ratio to test the Driver Experience x Road Condition interaction for those who drive in the night
F=
Write your conclusions about the source of the three way
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