Hypothesis testing is one of the cornerstones of statistical inference, used widely across disciplines such as economics, finance, psychology, and more. Researchers employ hypothesis testing to draw conclusions about population parameters based on sample data. Central to this process is the concept of the p-value, which helps quantify how unlikely the observed data (or more extreme data) would be if the null hypothesis were true.