T-test is one of the most common hypothesis tests in statistics, which is used to determine whether the means of the given two groups are equal to each other. The assumption for the test is that both groups are sampled from normal distributions with equal variances. The null hypothesis (H₀) is that the two means are equal, and the alternative (H₁) is that they are not.

In this demo, I will show how to use T.test function in R software on two data groups using Asp.Net as GUI front-end and R software as statistical computing back-end.