This allows us to look up the table for the area under the standard curve to see the probability of getting the sample results we actually obtained, if the null hypothesis is true. If this observed probability is smaller than the critical probability, then we reject the assumption that the null hypothesis is true, and instead accept the alternative hypothesis that the difference is due to something systematic.