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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

Short Answer

Expert verified
The null hypothesis will be rejected for the p-values of 0.001, 0.047 and 0.021.

Step by step solution

01

Understanding P-values and Significance Level

When performing hypothesis testing, a conclusion is drawn based on the comparison of the p-value with the significance level, denoted usually by alpha \(\alpha\). If the p-value is less than \(\alpha\), then the null hypothesis is rejected otherwise accepted.
02

Comparison of p-values with Significance Level

We have the following p-values: 0.001, 0.047, 0.021, 0.148, 0.078. We have to compare these with the significance level of 0.05. If any p-value is less than 0.05, then for that value, the null hypothesis would be rejected. Let's compare: P(0.001) < \(\alpha\) (0.05), P(0.047) < \(\alpha\) (0.05), P(0.021) < \(\alpha\) (0.05), P(0.148) > \(\alpha\) (0.05), P(0.078) > \(\alpha\) (0.05)
03

Conclusion

By comparing the p-values with the significance level, for p-value = 0.001, 0.047 and 0.021, the null hypothesis would be rejected as these are less than the significance level, 0.05. However for p-value = 0.148 and 0.078, the null hypothesis would not be rejected as they are greater than the significance level, 0.05.

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Most popular questions from this chapter

The article "Cops Get Screened for Digital Dirt" (USA Today, Nov. 12,2010 ) summarizes a report on law enforcement agency use of social media to screen applicants for employment. The report was based on a survey of 728 law enforcement agencies. One question on the survey asked if the agency routinely reviewed applicants' social media activity during background checks. For purposes of this exercise, suppose that the 728 agencies were selected at random and that you want to use the survey data to decide if there is convincing evidence that more than \(25 \%\) of law enforcement agencies review applicants' social media activity as part of routine background checks. a. Describe the shape, center, and spread of the sampling distribution of \(\hat{p}\) for samples of size 728 if the null hypothesis \(H_{0}: p=0.25\) is true. b. Would you be surprised to observe a sample proportion as large as \(\hat{p}=0.27\) for a sample of size 728 if the null hypothesis \(H_{0}: p=0.25\) were true? Explain why or why not. c. Would you be surprised to observe a sample proportion as large as \(\hat{p}=0.31\) for a sample of size 728 if the null hypothesis \(H_{0}: p=0.25\) were true? Explain why or why not. d. The actual sample proportion observed in the study was \(\hat{p}=0.33 .\) Based on this sample proportion, is there convincing evidence that more than \(25 \%\) of law enforcement agencies review social media activity as part of background checks, or is this sample proportion consistent with what you would expect to see when the null hypothesis is true?

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?

Which of the following are legitimate hypotheses? a. \(p=0.65\) b. \(\hat{p}=0.90\) c. \(\hat{p}=0.10\) d. \(p=0.45\) e. \(p>4.30\)

Describe the two types of errors that might be made when a hypothesis test is carried out.

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. \(H_{0}: \hat{p}=0.25 \quad H: \hat{p}>0.25\)

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