Question 1:

You wish to conduct an ANOVA (one way/omnibus ; F-Tests) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium (0.25) effect size, = 0.05, and a minimum power of 0.80. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group?

Question 2:

You conducted a Chi-Square Goodness-of-Fit Test in your ASCI 691 capstone project. Unfortunately, you were not able to obtain the sample size you had hoped for during your research. You were able to get only 55 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table. Assume you had a medium (0.3) effect size.

Question 3:

You conducted a t-test hypothesis in your ASCI 691 capstone project. You found a statistically significant difference between your two groups, but your sample size was relatively small. Upon conducting a post-hoc power analysis, you found that your actual power was 0.65. What should you do? Is there a problem with having a power less than 0.80 when you have significant differences?

Question 4:

You conducted a t-test in your ASCI 691 capstone project. You did not find a statistically significant difference between your groups and your sample size was relatively small. Upon conducting a post-hoc power analysis, you found that your actual power was 0.57. What should you do? Is there a problem with having a power less than 0.80 when you do not have significant differences?