Question: 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?