According to one source, 51% of plane crashes are due at least in part to pilot error. Suppose that in a random sample of 100 separate airplane accidents, 62 of them were due at least in part to pilot error. Complete parts a through c below. a. Test the hypothesis that the proportion of airplane accidents due to pilot error is not 0.51. Use a significance level of 0.05. Determine the null and alternative hypotheses. Let p be the proportion of plane crashes due to pilot error. Ho:p HA:P (Type integers or decimals. Do not round.) b. Determine the P-value. (Round to three decimal places as needed.) c. What is the proper conclusion? V Ho because the P-value is V the significance level.
According to one source, 51% of plane crashes are due at least in part to pilot error. Suppose that in a random sample of 100 separate airplane accidents, 62 of them were due at least in part to pilot error. Complete parts a through c below. a. Test the hypothesis that the proportion of airplane accidents due to pilot error is not 0.51. Use a significance level of 0.05. Determine the null and alternative hypotheses. Let p be the proportion of plane crashes due to pilot error. Ho:p HA:P (Type integers or decimals. Do not round.) b. Determine the P-value. (Round to three decimal places as needed.) c. What is the proper conclusion? V Ho because the P-value is V the significance level.
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![**Transcription of Statistical Hypothesis Testing Task**
**Problem Statement:**
According to one source, 51% of plane crashes are due at least in part to pilot error. Suppose that in a random sample of 100 separate airplane accidents, 62 of them were due at least in part to pilot error. Complete parts a through c below.
**a. Hypothesis Testing**
Test the hypothesis that the proportion of airplane accidents due to pilot error is not 0.51. Use a significance level of 0.05.
- **Determine the Null and Alternative Hypotheses:**
Let \( p \) be the proportion of plane crashes due to pilot error.
- \( H_0: p \) [Dropdown options]
- \( H_A: p \) [Dropdown options]
(Type integers or decimals. Do not round.)
**b. P-value Calculation**
- **Determine the P-value:**
[Input Box]
(Round to three decimal places as needed.)
**c. Conclusion**
- **What is the proper conclusion?**
Reject \( H_0 \) because the P-value is [Dropdown options] the significance level.
**Instructions:**
Click to select your answer(s).
---
**Explanation Section**
This section outlines a hypothesis test for the proportion of airplane accidents attributed to pilot error. The test is set at a significance level of 0.05, meaning results with a P-value below 0.05 would lead to rejecting the null hypothesis. The hypothesis involves statistical analysis of a sample of 100 accidents, with 62 being related to pilot error, to verify if this proportion significantly differs from the asserted 51% in past data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa3d79d88-085a-4b74-aa4d-a804f1556f72%2F5a434692-3eae-4c68-9220-899a2d911732%2Fkz69k8i_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Transcription of Statistical Hypothesis Testing Task**
**Problem Statement:**
According to one source, 51% of plane crashes are due at least in part to pilot error. Suppose that in a random sample of 100 separate airplane accidents, 62 of them were due at least in part to pilot error. Complete parts a through c below.
**a. Hypothesis Testing**
Test the hypothesis that the proportion of airplane accidents due to pilot error is not 0.51. Use a significance level of 0.05.
- **Determine the Null and Alternative Hypotheses:**
Let \( p \) be the proportion of plane crashes due to pilot error.
- \( H_0: p \) [Dropdown options]
- \( H_A: p \) [Dropdown options]
(Type integers or decimals. Do not round.)
**b. P-value Calculation**
- **Determine the P-value:**
[Input Box]
(Round to three decimal places as needed.)
**c. Conclusion**
- **What is the proper conclusion?**
Reject \( H_0 \) because the P-value is [Dropdown options] the significance level.
**Instructions:**
Click to select your answer(s).
---
**Explanation Section**
This section outlines a hypothesis test for the proportion of airplane accidents attributed to pilot error. The test is set at a significance level of 0.05, meaning results with a P-value below 0.05 would lead to rejecting the null hypothesis. The hypothesis involves statistical analysis of a sample of 100 accidents, with 62 being related to pilot error, to verify if this proportion significantly differs from the asserted 51% in past data.

Transcribed Image Text:**Choose the Correct Interpretation:**
- **A.** At the 0.05 level of significance there is not enough evidence to conclude that the percentage of plane crashes due to pilot error is not 51%.
- **B.** At the 0.05 level of significance there is enough evidence to conclude that the percentage of plane crashes due to pilot error is not 51%.
*Click to select your answer(s).*
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