what are the consequences of a type 1 error?
A Type I error is when we reject a true null hypothesis. Lower values of α make it harder to reject the null hypothesis, so choosing lower values for α can reduce the probability of a Type I error. The consequence here is that if the null hypothesis is false, it may be more difficult to reject using a low value for α.