Once again, if the test sample size is sufficiently large and the standard deviation \(\sigma\) of the underlying distribution is known, one can use the normal distribution to compute probabilities. If the test sample size is relatively small or if \(\sigma\) is not known (and therefore is approximated by the sample standard deviation s), then the t-distribution can be utilized to compute probabilities. We will only consider using the t-distribution to compute p-values.