Testing the null hypothesis involves the use of statistical tests such as the t-test, chi-square test, or ANOVA. These tests calculate a p-value, which indicates the probability of observing the data if the null hypothesis were true. A low p-value (typically less than 0.05) suggests that the observed data is unlikely under the null hypothesis, leading to its rejection.
