Hypothesis testing is a vital process in inferential statistics where the goal is to use sample data to draw conclusions about an entire population. In the testing process, you use significance levels and p-values to determine whether the test results are statistically significant. You hear about results being statistically significant all of the time. But, … Continue reading How Hypothesis Tests Work: Significance Levels (Alpha) and P values