Dr. Rhodes notices an interaction in his factorial study. In describing this, which statement might he best use to explain the link between Independent Variable A and Independent Variable B in predicting the dependent variable? A. The effect of Variable A is confused by Variable
B. The effect of Variable A depends on Variable B.
C. Variable A confounds Variable B.
D. Variable A mainly affects Variable B.

Let the sample size of leg strengths be 7 and the sample mean and sample standard deviation be 945 watts and 48 watts, respectively. (a) is there evidence that leg strength exceeds 900 watts at significance level 0.05? find the p-value. there is , evidence that the leg strength exceeds 900 watts at ? -0.05. 0.001 < p-value 0.005 0.05 p-value < 0.10 0.10 p-value < 0.25 o 0.010 p-value 0.025 (b) compute the power of the test if the true strength is 915 watts. (c) what sample size would be required to detect a true mean of 915 watts if the power of the test should be at least 0.9? n= exact number, no tolerance