Consider the two relative frequency histograms at the bottom of this page. The histogram on the left was constructed by selecting 100 different random samples of size 50 from a population consisting of $55 \%$ females and $45 \%$ males. For each sample, the sample proportion of females, $\hat{p},$ was calculated. The $100 \hat{p}$ values were used to construct the histogram. The histogram on the right was constructed in a similar way, except that the samples were of size 75 instead of 50 .
a. Which of the two histograms shows more sample-tosample variability? How can you tell?
b. For which of the two sample sizes, $n=50$ or $n=75,$ do you think the value of $\hat{p}$ is more likely to be close to $0.55 ?$ What about the given histograms supports your choice?