What is the sample standard error (SSE) and why is it important?

The Sample Standard Error (SSE) measures the variability of a sample statistic, like the sample mean, from the true population parameter. It estimates how accurately the sample mean represents the population mean. A smaller SSE indicates higher precision – the sample mean is likely closer to the population mean. It's crucial for hypothesis testing and constructing confidence intervals.