The t-statistic is a ratio used in hypothesis testing that compares the difference between an observed sample mean and a population mean relative to the standard error of the sample. It is particularly useful when the sample size is small and the population standard deviation is unknown, making it a fundamental tool in inferential statistics for determining the statistical significance of results.