In light of the distinction between the sample data

In light of the distinction between the sample data and as the likelihood of the null hypothesis rises, so does the t-absolute value's value. Assume that when we run a t-test, it determines that the t-value is 2 for our sample data. What even does that mean?
We have data that equals 2 fibrins, so I might as well have said that. When the null hypothesis is true, we don't sure if that's typical or unusual. A t-value of 2 by itself doesn't actually tell us much.
T-values are not expressed in the original data's units or any other way that we are accustomed to.critical values calculator Before we can evaluate individual t-values, we need a bigger context in which to arrange them. T-distributions are useful in this situation.