In statistics, during multiple comparisons testing, experimentwise error rate is the probability of at least one false rejection of the null hypothesis over an entire experiment. The α (alpha) that is assigned applies to all of the hypothesis tests as a whole, not individually as in the comparisonwise error rate. In two or higher factorial ANOVAs the experimentwise error rate is higher than the familywise error rate (error within a factor or interaction).