In: Statistics and Probability
An industrial psychologist is interested in the effectiveness of an employee computer training course. A total of 12 employees are enrolled in the course. The psychologist measures computer knowledge (1) just before the training begins, (2) again at the end of training, and (3) again at a 3-month follow-up. An increase in computer knowledge from pre-training to end-of-training would suggest the training is effective. Scores on the computer knowledge test can range from 1 to 10. The tables below summarize the data and part of the data analysis:
Source SS df MS F p eta2
IV 20.00 2 ____ ______ _____ _____
Error 44.50 22 ____
Subjects 42.13 ___
Total _____ 35
a. Describe the statistical test to be done.
b. State the null and alternative hypotheses.
c. What is the critical value of the test statistic? What is the decision rule for rejecting the null hypothesis?
CV: _________________________ df:___________ Reject H0 if F ________________
Based on the findings presented in your summary table, did you reject Ho? (Circle or highlight response)
Reject Ho Fail to reject Ho
Source | SS | df | MS | F | p | eta2 |
IV | 20 | 2 | 10 | 4.943 | .016902 | 0.1875 |
Error | 44.5 | 22 | 2.0227 | |||
Subjects | 42.13 | 11 | ||||
Total | 106.63 | 35 |
a) The test done above is ANOVA (analysis of variance )
b) Null hypothesis : There is no effect of employment computer training course.
Alternate hypothesis :- there is a effect of employment computer training course that is the overall score before and after training has increased.
c) F critical =3.44 and F calculated =4.943
If the calculated F value is greater than the critical value we reject the null hypothesis.
CV=3.44 df=(2,22) Reject Ho if F >3.44
Based on the calculated value we reject Ho that is we conclude that the training is effective .