Why is a smaller standard error of the mean desirable in statistical analysis?

A smaller standard error indicates that the sample mean is likely to be closer to the true population mean. This leads to more precise estimates and increases the power of statistical tests, making it easier to detect true effects and reducing the risk of Type II errors (false negatives). It signifies greater confidence in the results.