Chapter 9: Q.11.47 (page 460)
A sample size that will ensure a margin of error of at most the one specified.
Short Answer
The required sample size is 1, 842
Chapter 9: Q.11.47 (page 460)
A sample size that will ensure a margin of error of at most the one specified.
The required sample size is 1, 842
All the tools & learning materials you need for study success - in one app.
Get started for free
Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.
Tennis Challenges Since the Hawk-Eye instant replay system for tennis was introduced at the U.S. Open in 2006, men challenged 2441 referee calls, with the result that 1027 of the calls were overturned. Women challenged 1273 referee calls, and 509 of the calls were overturned. We want to use a 0.05 significance level to test the claim that men and women have equal success in challenging calls.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
c. Based on the results, does it appear that men and women have equal success in challenging calls?
Family Heights. In Exercises 1–5, use the following heights (in.) The data are matched so that each column consists of heights from the same family.
Father | 68.0 | 68.0 | 65.5 | 66.0 | 67.5 | 70.0 | 68.0 | 71.0 |
Mother | 64.0 | 60.0 | 63.0 | 59.0 | 62.0 | 69.0 | 65.5 | 66.0 |
Son | 71.0 | 64.0 | 71.0 | 68.0 | 70.0 | 71.0 | 71.7 | 71.0 |
Confidence Interval Construct a 95% confidence interval estimate of the mean height of sons. Write a brief statement that interprets the confidence interval.
Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.
Cardiac Arrest at Day and Night A study investigated survival rates for in hospital patients who suffered cardiac arrest. Among 58,593 patients who had cardiac arrest during the day, 11,604 survived and were discharged. Among 28,155 patients who suffered cardiac arrest at night, 4139 survived and were discharged (based on data from “Survival from In-Hospital Cardiac Arrest During Nights and Weekends,” by Puberty et al., Journal of the American Medical Association, Vol. 299, No. 7). We want to use a 0.01 significance level to test the claim that the survival rates are the same for day and night.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
c. Based on the results, does it appear that for in-hospital patients who suffer cardiac arrest, the survival rate is the same for day and night?
Degrees of Freedom
For Example 1 on page 431, we used df smaller of and , we got , and the corresponding critical values are If we calculate df using Formula 9-1, we get, and the corresponding critical values are . How is using the critical values of more “conservative” than using the critical values of .
What do you think about this solution?
We value your feedback to improve our textbook solutions.