The t-distribution is used for estimation and hypothesis testing of a population mean (average). The t-distribution is adjusted for the extra uncertainty of estimating the mean. If the sample is small, the t-distribution is wider. If the sample is big, the t-distribution is narrower. The bigger the sample size is, the closer the t-distribution gets to the standard normal distribution. Below is a graph of a few different t-distributions.