t-distribution

The t-distribution is a type of statistical distribution used to estimate the average of a small sample when the overall variation (or spread) of the data is unknown. It resembles the normal distribution but has heavier tails, meaning it accounts for more variability and uncertainty. This makes it useful for small sample sizes, providing more accurate confidence intervals and hypothesis tests about a population mean. As the sample size grows larger, the t-distribution increasingly resembles the normal distribution, reflecting decreased uncertainty with more data.