Answer:
b) Sample two (mean=64, SE=2) shows the least sampling variability
Explanation:
Sampling variability explains the extent to which the measurement obtained from a sample is different from that obtained from the population from which that sample was taken.
Standard deviation shows the deviation of the mean of a sample from the mean of the population.
Sample two, has a mean of 64 which is closest to the population average of 63 inches, and a standard deviation of 2 which is the lowest among the four samples taken. This means sample 2 shows the least sampling variability.