A p-value represents the probability of observing data as extreme as, or more extreme than, what was actually observed, assuming the null hypothesis is true. A low p-value (typically below a predetermined significance level, like 0.05) suggests that the observed data is unlikely under the null hypothesis, leading to its rejection in favor of the alternative hypothesis.