In a study of 420,056 cell phone​ users, 100 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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In a study of 420,056 cell phone​ users, 100 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.

23. In a study of 420,056 cell phone users, 100 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cance
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 a
the normal distribution as an approximation to the binomial distribution.
Which of the following is the hypothesis test to be conducted?
O A. Ho: p=0.00034
H₁: p <0.00034
OC. Ho: p<0.00034
H₁: p=0.00034
O E. Ho: p=0.00034
H₁:p #0.00034
What is the test statistic?
Z=
(Round to two decimal places as needed.)
What is the P-value?
O B. Ho: p= 0.00034
H₁: p > 0.00034
O D. Ho: p* 0.00034
H₁: p=0.00034
O F. Ho:p> 0.00034
H₁: p=0.00034
P-value=
(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 less than or equal to the significance level, c.
B.
Reject the null hypothesis because the P-value is greater than the significance level, c.
Fail to reject the null hypothesis because the P-value is greater than the significance level, c.
O C.
O D. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, c.
What is the final conclusion?
O A. There is not sufficient evidence to warrant rejection of the claim that cell phone users develop cancer of the brain or nervous system at a rate that is differen
from the rate of 0.0340%.
O B. There is not sufficient evidence to support 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%.
OC. There is sufficient evidence to support 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%.
O D. There is sufficient evidence to warrant rejection of 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%.
Transcribed Image Text:23. In a study of 420,056 cell phone users, 100 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cance 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 a the normal distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted? O A. Ho: p=0.00034 H₁: p <0.00034 OC. Ho: p<0.00034 H₁: p=0.00034 O E. Ho: p=0.00034 H₁:p #0.00034 What is the test statistic? Z= (Round to two decimal places as needed.) What is the P-value? O B. Ho: p= 0.00034 H₁: p > 0.00034 O D. Ho: p* 0.00034 H₁: p=0.00034 O F. Ho:p> 0.00034 H₁: p=0.00034 P-value= (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 less than or equal to the significance level, c. B. Reject the null hypothesis because the P-value is greater than the significance level, c. Fail to reject the null hypothesis because the P-value is greater than the significance level, c. O C. O D. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, c. What is the final conclusion? O A. There is not sufficient evidence to warrant rejection of the claim that cell phone users develop cancer of the brain or nervous system at a rate that is differen from the rate of 0.0340%. O B. There is not sufficient evidence to support 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%. OC. There is sufficient evidence to support 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%. O D. There is sufficient evidence to warrant rejection of 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%.
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