What does SEM help us understand in hypothesis testing?

SEM is vital in hypothesis testing because it allows us to estimate the margin of error associated with a sample mean. A smaller SEM indicates a more precise estimate of the population mean, while a larger SEM suggests greater uncertainty. It's used to calculate confidence intervals and determine the statistical significance of differences between group means.