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A county commissioner must vote on a resolution that would commit substantial resources to the construction of a sewer in an outlying residential area. Her fiscal decisions have been criticized in the past, so she decides to take a survey of residents in her district to find out if they favor spending money for a sewer system. She will vote to appropriate funds only if she can be reasonably sure that a majority of the people in her district favor the measure. What hypotheses should she test?

Short Answer

Expert verified
The null hypothesis (H0) is that 50% or less of the residents support the spending money on a sewer system. The alternative hypothesis (H1) is that more than 50% of residents support the spending money on a sewer system.

Step by step solution

01

- Identify the Null Hypothesis

This is the default assumption unless proven otherwise. The null hypothesis (H0) in this case is: '50% or less than the residents in her district favor the spending money for a sewer system'.
02

- Identify the Alternative Hypothesis

This is what the commissioner will accept if the null hypothesis is rejected based on the results of the survey. The alternative hypothesis (H1) in this case is: 'More than 50% of the residents in her district favor the spending money for a sewer system.'
03

- Conduct the Survey and Test the Hypotheses

The commissioner needs to carry out the survey sampling a representative part of her district's population. Then, she will calculate the percentage of respondents supporting the measure and use appropriate hypothesis testing methods to determine if the null hypothesis can be rejected or not.

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Most popular questions from this chapter

USA Today (Feb. 17, 2011) described a survey of 1,008 American adults. One question on the survey asked people if they had ever sent a love letter using e-mail. Suppose that this survey used a random sample of adults and that you want to decide if there is evidence that more than \(20 \%\) of American adults have written a love letter using e-mail. a. Describe the shape, center, and spread of the sampling distribution of \(\hat{p}\) for random samples of size 1,008 if the null hypothesis \(H_{0}: p=0.20\) is true. b. Based on your answer to Part (a), what sample proportion values would convince you that more than \(20 \%\) of adults have sent a love letter via e-mail?

USA Today (Feb. 17,2011 ) reported that \(10 \%\) of 1,008 American adults surveyed about their use of e-mail said that they had ended a relationship by e-mail. You would like to use this information to estimate the proportion of all adult Americans who have used e-mail to end a relationship.

Give an example of a situation where you would not want to select a very small significance level.

In a survey of 1,005 adult Americans, \(46 \%\) indicated that they were somewhat interested or very interested in having Web access in their cars (USA Today, May 1,2009 ). Suppose that the marketing manager of a car manufacturer claims that the \(46 \%\) is based only on a sample and that \(46 \%\) is close to half, so there is no reason to believe that the proportion of all adult Americans who want car Web access is less than \(0.50 .\) Is the marketing manager correct in his claim? Provide statistical evidence to support your answer. For purposes of this exercise, assume that the sample can be considered representative ofp adult Americans.

Past experience is that when individuals are approached with a request to fill out and return a particular questionnaire in a provided stamped and addressed envelope, the response rate is \(40 \%\). An investigator believes that if the person distributing the questionnaire were stigmatized in some obvious way, potential respondents would feel sorry for the distributor and thus tend to respond at a rate higher than \(40 \%\). To test this theory, a distributor wore an eye patch. Of the 200 questionnaires distributed by this individual, 109 were returned. Does this provide evidence that the response rate in this situation is greater than the previous rate of \(40 \%\) ? State and test the appropriate hypotheses using a significance plevel of 0.05 .

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