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?