The T-test is a statistical test to analyse the difference between two groups of data by comparing the mean. The test is usually conducted to evaluate whether a process has had an impact on the population, or simply to compare the two different groups, and assists in hypothesis testing. It is a parametric test which means the datasets must follow a normal distribution, must be independent, and have almost the same variance. The T-test can be applied to data that is continuous or follows an ordinal scale. There are three kinds of T-tests. The first is correlated T-Test, the second is equal variance T-Test, and the third is unequal variance T-Test.


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