If my p-value, if my p-value, if it is less than alpha, then I reject my null hypothesis, reject, reject my null hypothesis, and say that I have evidence for my alternative hypothesis. Now, if we have the other situation, if my p-value is greater than or equal to, in this case, 0.05, so if it's greater than or equal to my significance level, then I cannot reject the null hypothesis. I wouldn't say that I accept the null hypothesis. I would just say that we do not, do not reject, reject the null hypothesis. And so let's say when I do all of these calculations, I get a p-value, which would put me in this scenario right over here, let's say that I get a p-value of 0.03. 0.03 is indeed less than 0.05, so I would reject the null hypothesis and say that I have evidence for the alternative. And this should hopefully make logical sense because what we're saying is, hey, look, we took a sample, and if we assume the null hypothesis, the probability of getting that sample is 3%.