P-values play a significant role in testing the null hypothesis. A p-value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true. If the p-value is less than a predetermined significance level (usually 0.05), the null hypothesis is rejected. This indicates that the observed data are unlikely to have occurred under the null hypothesis, suggesting a possible effect or association.
