© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through Data, 1e by Gould and Ryan Chapter 8: Sections Hypothesis Testing for Population Proportions Slide 8 - 1

True or False If the null hypothesis is true, then the z- statistic will be close to 0. Therefore, the farther the z-statistic is from 0, the more the null hypothesis is discredited. A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

True or False A small p-value suggests that a surprising outcome has occurred and discredits the null hypothesis. A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

True or False Extreme values are rare in a N(0, 1) distribution, so if we see an extreme value, it is evidence that the null hypothesis is true. A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

To achieve a significance level of α, if the p-value is less than (or equal to) α, then A. reject the null hypothesis B. accept the null hypothesis C. do not reject the null hypothesis D. accept the alternative hypothesis Slide © 2013 Pearson Education, Inc. Response Counter

The power depends on which of the following factors? A. just how wrong the null hypothesis is B. the sample size C. the significance level D. All of the above Slide © 2013 Pearson Education, Inc. Response Counter

True or False The results of a study are said to have been replicated when researchers using new subjects come to the same conclusion. A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

True or False Statistically significant findings always mean that the results are useful. A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

True or False In hypothesis testing, it is perfectly reasonable to say that you “accept the null hypothesis.” A. True B. False Slide © 2013 Pearson Education, Inc. Response Counter

Don’t say you “accept the null hypothesis”; say, rather that you A. cannot reject the null hypothesis B. failed to reject the null hypothesis C. there is insufficient evidence to reject the null hypothesis D. All of the above Slide © 2013 Pearson Education, Inc. Response Counter