The document describes the t-test for independent means, which is used to compare the means of two independent groups when population variances are unknown. It involves calculating the variance of each group, pooling the variances to estimate the population variance, and determining the variance of the distribution of differences between the two sample means. The t-value is then computed and compared to critical values from the t-distribution to determine if the null hypothesis that the two population means are equal can be rejected.