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© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.

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Presentation on theme: "© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through."— Presentation transcript:

1 © 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: Hypothesis Testing for Population Proportions Slide 8 - 1

2 True or False Hypotheses are always statements about sample statistics. A. True B. False Slide 8 - 2 © 2013 Pearson Education, Inc. Response Counter

3 True or False The null hypothesis, which we write H 0 is the conservative, status-quo, business-as- usual statement about a population parameter. A. True B. False Slide 8 - 3 © 2013 Pearson Education, Inc. Response Counter

4 True or False The alternative hypothesis, H a, is the research hypothesis. It is usually a statement about the value of a parameter that we hope to demonstrate is true. A. True B. False Slide 8 - 4 © 2013 Pearson Education, Inc. Response Counter

5 True or False The null hypothesis always gets the benefit of the doubt and is assumed to be true throughout the hypothesis-testing procedure. A. True B. False Slide 8 - 5 © 2013 Pearson Education, Inc. Response Counter

6 True or False During hypothesis testing, if we decide at the last step that the observed outcome is extremely unusual under this assumption, then and only then do we reject the null hypothesis. A. True B. False Slide 8 - 6 © 2013 Pearson Education, Inc. Response Counter

7 True or False In this book, the null hypothesis always has an equals sign, no matter which alternative hypothesis is used. A. True B. False Slide 8 - 7 © 2013 Pearson Education, Inc. Response Counter

8 The probability of rejecting the null hypothesis when, in fact, the null hypothesis is true is called the A. standard error B. p-value C. power of the test D. significance level Slide 8 - 8 © 2013 Pearson Education, Inc. Response Counter

9 There are three basic pairs of hypotheses. The two-tailed test has the following hypotheses: A. H 0 : p = p 0 and H a : p < p 0 B. H 0 : p = p 0 and H a : p ≠ p 0 C. H 0 : p = p 0 and H a : p > p 0 D. H 0 : p ≠ p 0 and H a : p = p 0 Slide 8 - 9 © 2013 Pearson Education, Inc. Response Counter

10 There are three basic pairs of hypotheses. The one-tailed (left) test has the following hypotheses: A. H 0 : p = p 0 and H a : p < p 0 B. H 0 : p = p 0 and H a : p ≠ p 0 C. H 0 : p = p 0 and H a : p > p 0 D. H 0 : p ≠ p 0 and H a : p = p 0 Slide 8 - 10 © 2013 Pearson Education, Inc. Response Counter

11 There are three basic pairs of hypotheses. The one-tailed (right) test has the following hypotheses: A. H 0 : p = p 0 and H a : p < p 0 B. H 0 : p = p 0 and H a : p ≠ p 0 C. H 0 : p = p 0 and H a : p > p 0 D. H 0 : p ≠ p 0 and H a : p = p 0 Slide 8 - 11 © 2013 Pearson Education, Inc. Response Counter


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