Interpreting the p-value involves comparing it to a significance level (alpha), often set at 0.05. If the p-value is less than or equal to this threshold, the null hypothesis is rejected, indicating that the observed effect is statistically significant. Conversely, if the p-value is greater than the threshold, the null hypothesis is not rejected, suggesting that the observed effect could be due to chance.
