How do you interpret a standard error of the mean value?

The standard error of the mean is often expressed as a confidence interval. For example, a 95% confidence interval for the population mean is typically calculated as the sample mean ± (1.96 * SEM). This means we can be 95% confident that the true population mean falls within this range. A smaller SEM indicates a narrower confidence interval, suggesting a more precise estimate.