1.The researcher must decide on the level of significance before formulating a decision rule and collecting sample data.
2.A test statistic is a value determined from sample information used to reject or not reject the null hypothesis.
3. Two types of possible errors always exist when testing hypotheses—a Type I error, in which the null hypothesis is rejected when it should not have been rejected, and a Type II error in which the null hypothesis is not rejected when it should have been rejected.
True or False
1) it is false as you should mention or explain in... View the full answer