Extend the Bonferroni procedure described in the last problem to simultaneous testing. That is, suppose we have m hypotheses of interest: H_0i versus H_1i, i = 1, . . . , m. For testing H_0i versus H_1i, let C_i,_α be a critical region of size α and assume H_0i is rejected if X_i ∈ C_i,α, for a sample X_i. Determine a rule so that we can simultaneously test these m hypotheses with a Type I error rate less than or equal to α.