1a. You're a trainer for Microsoft Corp.In a random fashion, 12 different employees are assigned to each

of four training method conditions (M1, M2, M3 and M4). Learning times for each participant and the means of

learning times for each condition are shown in the table below.

M1

10

9

5

Mean= 8

M2

11

16

9

Mean= 12

M3

13

8

9

Mean= 10

M4

18

23

25

Mean= 22

i.Complete the one-way ANOVA on these data, and test the F ratio for significanceat the .05 and .01 levels.

ii.Report your resultswith an ANOVA source table.

iii.Explain the results at the .05 level and at the .01 levels.

1b.

i.Use Fisher's and Tukey'steststo determine which groups are significantly different from each other at the .05 level and explain where the differences are and what this means.

ii.Are both of these tests justified here in this case?

ii.Which test is preferable? Explain why.

1c.

i. Calculate the linear contrast comparing methods 1 and 2 combined vs. methods 3 and 4 combined.Is

the linear contrast significant at the 0.05 level, as a planned contrast?

ii. Retest this contrast for significance at the .05 level with Scheffe as a post hoc complex comparison.

iii. Make sure to explain all the results from the planned (a priori) contrast as well as from the post hoc

complex comparison.

1d.Calculate(the sample effect size) and interpret what an effect of this size means in relation to the ANOVA you calculated in 1a.

1e. Given the actual sample sizes used in this experiment,calculate power and explain what this means in relation to the ANOVA you calculated in 1a.

(NOTE: The lowest level ofFPhi is 1.0and the highest is 3 in the power tables. If your calculation is smaller than 1.0 or greater than 3.0, use 1.0 or 3.0 for Phi)

1f.Calculate adjusted eta squaredand interpret the results in relation to the ANOVA you calculated in 1a.