Discussion:
Q: It is a "what if analysis" designed to determine what happens to the test statistics and interval estimates when elements of the statistical inference change.
Random samples from two binomial populations produced the following statistics:
P hat 1 = .45 n1 = 100 p hat2 = .40 n2 = 100
a) Calculate the p-value of a test to determine whether we can infer that the population proportions differ.
b) Repeat part a increasing the sample sizes to 400.
c) Describe what happens to the p-value when the sample sizes increase.