What a P-Value Actually Measures, Explained With 9 Real Orders and No Tables

Data analyst Michael Nocito published an educational explainer on August 9, 2026, breaking down what a p-value truly measures using a hands-on permutation test. The worked example draws on nine real orders split across two regions, where one region leads by $168.50, and tests whether that gap could simply result from random assignment. By exhaustively counting all 126 possible ways to split the nine orders, the p-value is derived through straightforward arithmetic rather than statistical distribution tables. Nocito defines a p-value as the share of outcomes at least as extreme as the observed result, assuming no real effect exists between groups. He also highlights four common misconceptions, stressing that a small p-value indicates only that the result would be unusual under chance, not that the effect is large or definitively real.