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The article "Poll Finds Most Oppose Return to Draft, Wouldn't Encourage Children to Enlist" (Associated Press, December 18,2005 ) reports that in a random sample of 1,000 American adults, 430 answered yes to the following question: "If the military draft were reinstated, would you favor drafting women as well as men?" The data were used to test \(H_{0}: p=0.5\) versus \(H_{i}: p<0.5,\) and the null hypothesis was rejected. (Hint: See discussion at bottom of page 426\()\) a. Based on the result of the hypothesis test, what can you conclude about the proportion of American adults who favor drafting women if a military draft were reinstated? b. Is it reasonable to say that the data provide strong support for the alternative hypothesis? c. Is it reasonable to say that the data provide strong evidence against the null hypothesis?

Short Answer

Expert verified
The result of the hypothesis test suggests that less than 50% of American adults favor drafting women if a military draft were reinstated. It's reasonable to say that the data provides some degree of support for the alternative hypothesis and evidence against the null hypothesis, but without the p-value, the strength of this support and evidence can't be clarified.

Step by step solution

01

Identify the sample proportion

From the exercise, we know 430 out of the 1000 adults sampled answered 'yes'. This gives a sample proportion, \(p' = \frac{430}{1000}\)
02

Conduct a hypotheses test

Using the sample proportion, \(p'\), and the given hypotheses \(H_{0}: p=0.5\) versus \(H_{i}: p<0.5\), conduct a hypotheses test. The null hypothesis, representing 50% support for drafting women, is rejected based on this test.
03

Interpret the findings

The rejection of the null hypothesis implies that the proportion of adults favoring the drafting of women is less than 0.5
04

Discuss the Support for the Alternative Hypothesis

Given that the null hypothesis is rejected, it can be stated that the data supports the alternative hypothesis to some degree. However, referring to it as 'strong support' cannot be concluded from the information provided. We need to know the p-value to discuss how strong that support is.
05

Discuss the evidence against the Null Hypothesis

The evidence against the null hypothesis is the rejection of it. This implicates that the proportion of those in favor of drafting women is less than 0.5. However, just as with the alternative hypothesis, the strength of this evidence can only be determined by analyzing the p-value which has not been provided in this problem.

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Most popular questions from this chapter

One type of error in a hypothesis test is rejecting the null hypothesis when it is true. What is the other type of error that might occur when a hypothesis test is carried out?

The article "Poll Finds Most Oppose Return to Draft, Wouldn't Encourage Children to Enlist" (Associated Press, December 18,2005 ) reports that in a random sample of 1,000 American adults, 700 indicated that they oppose the reinstatement of a military draft. Suppose you want to use this information to decide if there is convincing evidence that the proportion of American adults who oppose reinstatement of the draft is greater than two-thirds. a. What hypotheses should be tested in order to answer this question? b. The \(P\) -value for this test is \(0.013 .\) What conclusion would you reach if \(\alpha=0.05 ?\)

For which of the following \(P\) -values will the null hypothesis be rejected when performing a test with a significance level of \(0.05 ?\) a. 0.001 d. 0.047 b. 0.021 e. 0.148 c. 0.078

Which of the following specify legitimate pairs of null and alternative hypotheses? a. \(H_{0}: p=0.25 \quad H_{a}: p>0.25\) b. \(H_{0}: p<0.40 \quad H_{a}: p>0.40\) c. \(H_{0}: p=0.40 \quad H_{a}: p<0.65\) d. \(H_{0}: p \neq 0.50 \quad H_{a}: p=0.50\) e. \(H_{0}: p=0.50 \quad H_{a}: p>0.50\) f. \(H_{0}: \hat{p}=0.25 \quad H: \hat{p}>0.25\)

The article "Fewer Parolees Land Back Behind Bars" (Associated Press, April 11,2006 ) includes the following statement: "Just over \(38 \%\) of all felons who were released from prison in 2003 landed back behind bars by the end of the following year, the lowest rate since \(1979 . "\) Explain why it would not be necessary to carry out a hypothesis test to determine if the proportion of felons released in 2003 who landed back behind bars by the end of the following year was less than 0.40.

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