A human resources manager is investigating the effectiveness of
a new employee orientation program. Three different instructors
each train 8 new employees about the company and its policies, and
then a test is given to all new personnel. The manager wants to
know if differences in test score can be attributed to instructor
at an alpha of .05. She observes the following results in
SPSS:
Mean |
Standard Deviation |
|
Instructor A |
76.75 |
8.067 |
Instructor B |
84.13 |
8.871 |
Instructor C |
90.75 |
6.964 |
Total |
83.88 |
9.625 |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
Between Groups |
784.750 |
2 |
392.375 |
6.122 |
.008 |
Within Groups |
1345.875 |
21 |
64.089 |
||
Total |
2130.625 |
23 |
The null hypothesis that all three group means are equal is
rejected. She wants to do a Tukey HSD to determine how the means
differ from one another, but her computer freezes. You offer to do
it for her by hand.
1. The (closest) tabled value for the studentized range
statistic (q) is ______ (to 2 decimals).
2. The appropriate value for the MSW (aka MSE) is ________ (to 3
decimals).
3. The appropriate value for n is ________ .
4. The HSD value is _______ (to 2 decimals).
1)
critical q with 0.05 level and k=3, N-k=28 df= | 3.50 |
2)
from given table MSW =64.089
3)
. The appropriate value for n is =8
4)
Tukey's (HSD) =(q/√2)*(sp*√(1/ni+1/nj) = | 9.91 |
A human resources manager is investigating the effectiveness of a new employee orientation program. Three different...