Suggest situations where the researcher should be more concerned with Type II error than with Type I error.
a) How can the probability of a Type I error be reduced? A Type II error?
b) How does practical significance differ from statistical significance?
c).Suppose you interview all the members of the freshman and senior classes and find that 65 percent of the freshmen and 62 percent of the seniors favor a proposal to send Help Centers offshore. Is this difference significant?