I had mostly forgotten some of the specifics of hypothesis testing, like formulas and which distribution goes with which scenario. Today was a helpful reminder that if the variance is known, a normal distribution is used to calculate the p-value, while if the variance is unknown and we have to use the sample variance, the t-distribution is used to calculate the p-value. The formula It was nice to have a little R refresher as well, although t.test is pretty intuitive.I also liked walking through the steps of hypothesis testing again: start with the null and alternative, calc the test test, determine its distribution, calc pval, graph. I will have to do some more reviewing but today definitely helped.