Question 1:

You wish to conduct an ANOVA (one way/omnibus) 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 effect size, α = 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 did not get the sample size you had hoped for during your research. You

were able to get 55 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table.

Assume you had a medium effect size.

Question 3:

You conducted a t-test in your 691 capstone research. You found a statistically significant

difference between your groups even though 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 691 capstone research. You did not find a statistically significant

difference between your groups even though 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?