Hypothesis Testing: Null and Alternative

Hypothesis testing evaluates whether observed data contradicts a default assumption (null hypothesis). You compute a p-value: the probability of seeing results at least as extreme if the null is true. A small p-value (typically < 0.05) leads to rejecting the null — but it's evidence, not proof.