In: Statistics and Probability
An industrial psychologist is investigating the effects of work
environment on employee attitudes. A group of...
An industrial psychologist is investigating the effects of work
environment on employee attitudes. A group of 20 recently hired
sales trainees were randomly assigned to one of four different
“home rooms” – five trainees per room. Each room is identical
except for wall color. The four colors used were green, blue, gray
and red. The psychologist wants to know whether room color has an
effect on attitude, and, if so, wants to compare the mean attitudes
of the trainees assigned to the four room colors. At the end of the
training program, the attitude of each trainee was measured on a
60-point scale (the lower the score, the poorer the attitude).
Data from the sample are provided in the following table:
|
green |
blue |
gray |
red |
group a |
47 |
55 |
33 |
41 |
group b |
59 |
49 |
49 |
43 |
group c |
50 |
53 |
46 |
46 |
group d |
56 |
54 |
54 |
35 |
group e |
44 |
48 |
40 |
52 |
- Conduct a one-way ANOVA with Room Color as your
treatment effect (level of significance = .10). Clearly mention
your null and alternate hypotheses, calculations and your
conclusion. [Show your code in “R Code” section. Show the answer in
“Answer” section. Include the null and alternate hypotheses and the
phrase “accept null hypothesis” or “reject null hypothesis” along
with a justification in a few sentences in “Comments”
section.]
- Conduct a randomized complete block ANOVA with Group
as your blocking effect (level of significance = .10). Clearly
mention your null and alternate hypotheses, calculations and your
conclusion. [Show your code in “R Code” section. Show the answer in
“Answer” section. Include the null and alternate hypotheses and the
phrase “accept null hypothesis” or “reject null hypothesis” along
with a justification in a few sentences in “Comments”
section.]