The p-value and alpha level are both important components of a hypothesis test. The p-value measures the strength of evidence against the null hypothesis, it tells us the likelihood of observing the results we obtained if the null hypothesis is true. The alpha level is a predetermined threshold that we set before conducting the test. If the p-value is smaller than the alpha, we reject it. Essentially, the alpha level helps us determine whether the evidence we have is strong enough to reject the null hypothesis or not