In a study of 420,121 cell phone users, 116 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.005 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.

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Chapter1: Starting With Matlab
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In a study of 420,121 cell phone users, 116 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers
are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of
0,0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.005 significance level. Identify the null hypothesis, alternative
hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claimn. Use the P-value method and the normal
distribution as an approximation to the binomial distribution.
Transcribed Image Text:In a study of 420,121 cell phone users, 116 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0,0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.005 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claimn. Use the P-value method and the normal distribution as an approximation to the binomial distribution.
What is the test statistic?
z= 0.35
(Round to two decimal places as needed.)
What is the P-value?
P-value = 0.7283
Round to four decimal places as needed.)
What is the conclusion on the null hypothesis?
O A. Reject the null hypothesis because the P-value is greater than the significance level, a.
O B. Reject the null hypothesis because the P-value is less than or equal to the significance level, a.
O C. Fail to reject the null hypothesis because the P-value is greater than the significance level, a.
O D. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a.
Transcribed Image Text:What is the test statistic? z= 0.35 (Round to two decimal places as needed.) What is the P-value? P-value = 0.7283 Round to four decimal places as needed.) What is the conclusion on the null hypothesis? O A. Reject the null hypothesis because the P-value is greater than the significance level, a. O B. Reject the null hypothesis because the P-value is less than or equal to the significance level, a. O C. Fail to reject the null hypothesis because the P-value is greater than the significance level, a. O D. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a.
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