a) What happens to the Standard Error of the mean when the variance (spread) in the data increases?

b) What happens to the Standard Error of the mean when the sample size increases? c) About how often does the 95% CI contain the true population mean?

d) When we use larger sample sizes, how does that affect the variability in our repeated estimates of the mean? (Hint: variability here is the opposite of precision)

e) When we use larger sample sizes, how does that affect the breadth (width) of the CI?

f) When we use larger samples sizes, does it affect how often the 95% CI captures the true mean?