a study of 420,091 cell phone users, 129 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 svstem 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 0.001 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. Which of the following is the hypothesis test to be conducted? O A. Ho p<000034 H p=0.00034 O C. Ho p= 0.00034 O B. Ho p=0.00034 H, p> 0.00034 OD. Ho p=0.00034 H p<0.00034 H, p40 00034 O E. Ho p>0.00034 H, p= 0.00034 O F. Ho p#0.00034 Hp=0.00034 What is the test statistic? (Round to two decimal places as needed.) What is the P.value? 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, a the null hypothesis because the P-value is greater than 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 What is the final conclusion? OA 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 B. 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% Oc 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% different from the rate of O D. 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 0.0340%.
a study of 420,091 cell phone users, 129 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 svstem 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 0.001 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. Which of the following is the hypothesis test to be conducted? O A. Ho p<000034 H p=0.00034 O C. Ho p= 0.00034 O B. Ho p=0.00034 H, p> 0.00034 OD. Ho p=0.00034 H p<0.00034 H, p40 00034 O E. Ho p>0.00034 H, p= 0.00034 O F. Ho p#0.00034 Hp=0.00034 What is the test statistic? (Round to two decimal places as needed.) What is the P.value? 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, a the null hypothesis because the P-value is greater than 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 What is the final conclusion? OA 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 B. 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% Oc 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% different from the rate of O D. 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 0.0340%.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![In a study of 420,091 cell phone users, 129 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. 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 0.001 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.
Which of the following is the hypothesis test to be conducted?
- A. \( H_0: p \leq 0.00034 \)
\( H_1: p = 0.00034 \)
- B. \( H_0: p = 0.00034 \)
\( H_1: p > 0.00034 \)
- C. \( H_0: p = 0.00034 \)
\( H_1: p \neq 0.00034 \)
- D. \( H_0: p = 0.00034 \)
\( H_1: p < 0.00034 \)
- E. \( H_0: p \geq 0.00034 \)
\( H_1: p = 0.00034 \)
- F. \( H_0: p \neq 0.00034 \)
\( H_1: p = 0.00034 \)
What is the test statistic?
- z = [ ]
(Round to two decimal places as needed.)
What is the P-value?
- P-value = [ ]
(Round to four decimal places as needed.)
What is the conclusion on the null hypothesis?
- A. Reject the null hypothesis because the P-value is less than or equal to the significance level \(\alpha\).
- B. Reject the null hypothesis because the P-value is greater than the significance level \(\alpha\).
- C. Fail to reject the null hypothesis because the P-value is greater than the significance level \(\alpha\).
- D. Fail to reject the null hypothesis because the P-value is less than or equal to](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F81b0e6b6-ec7a-4eb0-91f9-72fff94e773d%2F6f0840f2-9e29-41fc-b8be-f5707e4a87d0%2Fxxzbpd9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In a study of 420,091 cell phone users, 129 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. 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 0.001 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.
Which of the following is the hypothesis test to be conducted?
- A. \( H_0: p \leq 0.00034 \)
\( H_1: p = 0.00034 \)
- B. \( H_0: p = 0.00034 \)
\( H_1: p > 0.00034 \)
- C. \( H_0: p = 0.00034 \)
\( H_1: p \neq 0.00034 \)
- D. \( H_0: p = 0.00034 \)
\( H_1: p < 0.00034 \)
- E. \( H_0: p \geq 0.00034 \)
\( H_1: p = 0.00034 \)
- F. \( H_0: p \neq 0.00034 \)
\( H_1: p = 0.00034 \)
What is the test statistic?
- z = [ ]
(Round to two decimal places as needed.)
What is the P-value?
- P-value = [ ]
(Round to four decimal places as needed.)
What is the conclusion on the null hypothesis?
- A. Reject the null hypothesis because the P-value is less than or equal to the significance level \(\alpha\).
- B. Reject the null hypothesis because the P-value is greater than the significance level \(\alpha\).
- C. Fail to reject the null hypothesis because the P-value is greater than the significance level \(\alpha\).
- D. Fail to reject the null hypothesis because the P-value is less than or equal to
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