In a study of 420,127 cell phone users, 119 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 0.001 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= 0.00034 O B. Ho p= 0.00034 H p>0.00034 H,: p#0.00034 O C. Ho p>0.00034 H1: p= 0.00034 O D. Ho p 0.00034 H p=0.00034 O E. Ho p=0.00034 H,: p<0.00034 OF. Ho: p<0.00034 H: p=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. O B. Fail to reject the null hypothesis because the P-value is greater than the significance level, a O C. Reject the null hypothesis because the P-value is greater than the significance level, a CS 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? uri O A. 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%. O C. 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 different from the rate of 0.0340%. O D. 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%. ES
In a study of 420,127 cell phone users, 119 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 0.001 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= 0.00034 O B. Ho p= 0.00034 H p>0.00034 H,: p#0.00034 O C. Ho p>0.00034 H1: p= 0.00034 O D. Ho p 0.00034 H p=0.00034 O E. Ho p=0.00034 H,: p<0.00034 OF. Ho: p<0.00034 H: p=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. O B. Fail to reject the null hypothesis because the P-value is greater than the significance level, a O C. Reject the null hypothesis because the P-value is greater than the significance level, a CS 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? uri O A. 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%. O C. 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 different from the rate of 0.0340%. O D. 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%. ES
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 420,127 cell phone users, 119 subjects developed cancer of the brain or nervous system. The claim of a somewhat common belief is to be tested that these cancers are affected by cell phone use. Specifically, the study tests whether cell phone users develop cancer of the brain or nervous system at a rate different from 0.0340% (for those who do not use cell phones). Given the importance of this issue, a 0.001 significance level is used. The null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final decision addressing the claim are outlined below.
**Hypothesis Test Options:**
1. **A.** \( H_0: p = 0.00034 \)
\( H_1: p \neq 0.00034 \)
2. **B.** \( H_0: p = 0.00034 \)
\( H_1: p > 0.00034 \)
3. **C.** \( H_0: p > 0.00034 \)
\( H_1: p = 0.00034 \)
4. **D.** \( H_0: p \neq 0.00034 \)
\( H_1: p = 0.00034 \)
5. **E.** \( H_0: p = 0.00034 \)
\( H_1: p < 0.00034 \)
6. **F.** \( H_0: p < 0.00034 \)
\( H_1: p = 0.00034 \)
**Test Statistic:**
- **z =** [Blank for entry]
*(Round to two decimal places as needed.)*
**P-value:**
- **P-value =** [Blank for entry]
*(Round to four decimal places as needed.)*
**Conclusion on Null Hypothesis:**
1. **A.** Reject the null hypothesis because the P-value is less than or equal to the significance level, \( \alpha \).
2. **B.** Fail to reject the null hypothesis because the P-value is greater than the significance level, \( \alpha \).
3. **C.** Reject the null hypothesis because the P-value is greater than the significance level, \( \alpha \).
4. **D.** Fail](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff6fd35b1-a084-4dca-9b7e-cb9a24f99f4d%2Fa6cc0240-f1d3-40a3-b6e8-1c86d0170b31%2Ftlu5th_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In a study of 420,127 cell phone users, 119 subjects developed cancer of the brain or nervous system. The claim of a somewhat common belief is to be tested that these cancers are affected by cell phone use. Specifically, the study tests whether cell phone users develop cancer of the brain or nervous system at a rate different from 0.0340% (for those who do not use cell phones). Given the importance of this issue, a 0.001 significance level is used. The null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final decision addressing the claim are outlined below.
**Hypothesis Test Options:**
1. **A.** \( H_0: p = 0.00034 \)
\( H_1: p \neq 0.00034 \)
2. **B.** \( H_0: p = 0.00034 \)
\( H_1: p > 0.00034 \)
3. **C.** \( H_0: p > 0.00034 \)
\( H_1: p = 0.00034 \)
4. **D.** \( H_0: p \neq 0.00034 \)
\( H_1: p = 0.00034 \)
5. **E.** \( H_0: p = 0.00034 \)
\( H_1: p < 0.00034 \)
6. **F.** \( H_0: p < 0.00034 \)
\( H_1: p = 0.00034 \)
**Test Statistic:**
- **z =** [Blank for entry]
*(Round to two decimal places as needed.)*
**P-value:**
- **P-value =** [Blank for entry]
*(Round to four decimal places as needed.)*
**Conclusion on Null Hypothesis:**
1. **A.** Reject the null hypothesis because the P-value is less than or equal to the significance level, \( \alpha \).
2. **B.** Fail to reject the null hypothesis because the P-value is greater than the significance level, \( \alpha \).
3. **C.** Reject the null hypothesis because the P-value is greater than the significance level, \( \alpha \).
4. **D.** Fail
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