a.Are the following conclusions warranted? Why or why not? The results were significant at the .05 level. This means that the results proved that the null hypothesis was false and that the independent variable caused the results. If the study were repeated 100 times, these same results would occur 95 times.
b. What is the Type I error rate if the alpha (a) level is .05? What is meant by the term Type I error? Is making a Type I error worse than making a Type II error? Why or why not?
c. What is meant by power? How can power be increased? Why is increasing the power of a test worthwhile?