P-values can seem strange. I provide some intuition for why they make sense in the context of null-hypothesis significance testing.
The probability integral transform states that, for a continuous random variable \(X\), the distribution of \(Y = F_X(X)\) is \(U(0, 1)\). I give some intuition for this statement.
