The document explains the difference between standard deviation and standard error. Standard deviation measures the variability around the mean, while standard error reflects the variability of a statistic's sampling distribution. Standard errors are crucial for understanding sampling fluctuations in statistics.

1. Explain the distinction between the standard deviation and the standard error.
Solution
Standard deviation is a measure of dispersion/ variability around the mean. The
standard error of a statistic is the standard deviation of the sampling distribution of that statistic.
Standard errors are important because they reflect how much sampling fluctuation a statistic will
show.