Quantitative Methods Questions
The p-value in hypothesis testing is the probability of obtaining a test statistic as extreme as, or more extreme than, the observed data, assuming that the null hypothesis is true. It is used to determine the statistical significance of the results and helps in deciding whether to reject or fail to reject the null hypothesis. A smaller p-value indicates stronger evidence against the null hypothesis, suggesting that the observed data is unlikely to have occurred by chance alone.