Imagine a researcher has taken two random samples from two populations (A and B). Each sample is the same size (N = 71), has the same sample mean (M = 50), and comes from a population with the same mean (μ = 52). The two populations differ in how much variability exists. As a result, one sample has a smaller standard deviation (s = 2) than the other (s = 12). The researcher went on to calculate single- sample t values for each sample. Based on the information provided below, how does the size of the sample standard deviation affect the results of a single-sample t test?

Width CI of CI SM 0.24 1.994 -8.33 -1.00 -2.48 0.96 A: Less variability (s = 2) to -1.52 1.42 1.994-1.41 -0.17 -4.83 5.66 B: More variability (s = 12) to 0.83