A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0 1.1 6.0 1.6 5.3 0.4 1.0 5.3 15.6 0.8 4.8 0.9 12.2 5.3 0.6 (a) Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.) years (b) How should the interval of part (a) be altered to achieve a confidence level of 99%? O A 99% confidence level requires using a new value of n to capture an area of 0.005 in each tail of the chi-squared distribution. O A 99% confidence level requires using a new value of n to capture an area of 0.1 in each tail of the chi-squared distribution. A 99% confidence level requires using critical values that capture an area of 0.005 in each tail of the chi-squared distribution. O A 99% confidence level requires using critical values that capture an area of 0.1 in each tail of the chi-squared distribution. (c) What is a 95% CI for the standard deviation of the lifetime distribution? [Hint: What is the standard deviation of an exponential random variable?] (Round your answers to two decimal places.) years
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0 1.1 6.0 1.6 5.3 0.4 1.0 5.3 15.6 0.8 4.8 0.9 12.2 5.3 0.6 (a) Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.) years (b) How should the interval of part (a) be altered to achieve a confidence level of 99%? O A 99% confidence level requires using a new value of n to capture an area of 0.005 in each tail of the chi-squared distribution. O A 99% confidence level requires using a new value of n to capture an area of 0.1 in each tail of the chi-squared distribution. A 99% confidence level requires using critical values that capture an area of 0.005 in each tail of the chi-squared distribution. O A 99% confidence level requires using critical values that capture an area of 0.1 in each tail of the chi-squared distribution. (c) What is a 95% CI for the standard deviation of the lifetime distribution? [Hint: What is the standard deviation of an exponential random variable?] (Round your answers to two decimal places.) years
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![**Observations on Lifetime of Heat Pumps:**
A random sample of \( n = 15 \) heat pumps of a certain type yielded the following observations on lifetime (in years):
- Data: 2.0, 1.1, 6.0, 1.6, 5.3, 0.4, 1.0, 5.3, 15.6, 0.8, 4.8, 0.9, 12.2, 5.3, 0.6
**(a)** Assume that the lifetime distribution is exponential and use an argument parallel to that of an example to obtain a 95% CI (Confidence Interval) for the expected (true average) lifetime. (Round your answers to two decimal places.)
- Confidence Interval: \(( \_\_\_\_ , \_\_\_\_ )\) years
**(b)** How should the interval of part (a) be altered to achieve a confidence level of 99%?
- Options:
- A 99% confidence level requires using a new value of \( n \) to capture an area of 0.005 in each tail of the chi-squared distribution.
- A 99% confidence level requires using a new value of \( n \) to capture an area of 0.1 in each tail of the chi-squared distribution.
- **A 99% confidence level requires using critical values that capture an area of 0.005 in each tail of the chi-squared distribution.** (Correct Answer)
- A 99% confidence level requires using critical values that capture an area of 0.1 in each tail of the chi-squared distribution.
**(c)** What is a 95% CI for the standard deviation of the lifetime distribution? [Hint: What is the standard deviation of an exponential random variable?] (Round your answers to two decimal places.)
- Confidence Interval: \(( \_\_\_\_ , \_\_\_\_ )\) years
(Note: The text prompts the user to follow specific statistical methods for calculating the confidence intervals, often using a parallel example or additional statistical tables or tools to obtain the necessary critical values for chi-squared distributions.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1665bdf4-5411-4ca1-a903-736ef5c9444c%2Fb91acc2e-5a06-4bfb-9c41-3a65370250ca%2Ffnb4m_processed.png&w=3840&q=75)
Transcribed Image Text:**Observations on Lifetime of Heat Pumps:**
A random sample of \( n = 15 \) heat pumps of a certain type yielded the following observations on lifetime (in years):
- Data: 2.0, 1.1, 6.0, 1.6, 5.3, 0.4, 1.0, 5.3, 15.6, 0.8, 4.8, 0.9, 12.2, 5.3, 0.6
**(a)** Assume that the lifetime distribution is exponential and use an argument parallel to that of an example to obtain a 95% CI (Confidence Interval) for the expected (true average) lifetime. (Round your answers to two decimal places.)
- Confidence Interval: \(( \_\_\_\_ , \_\_\_\_ )\) years
**(b)** How should the interval of part (a) be altered to achieve a confidence level of 99%?
- Options:
- A 99% confidence level requires using a new value of \( n \) to capture an area of 0.005 in each tail of the chi-squared distribution.
- A 99% confidence level requires using a new value of \( n \) to capture an area of 0.1 in each tail of the chi-squared distribution.
- **A 99% confidence level requires using critical values that capture an area of 0.005 in each tail of the chi-squared distribution.** (Correct Answer)
- A 99% confidence level requires using critical values that capture an area of 0.1 in each tail of the chi-squared distribution.
**(c)** What is a 95% CI for the standard deviation of the lifetime distribution? [Hint: What is the standard deviation of an exponential random variable?] (Round your answers to two decimal places.)
- Confidence Interval: \(( \_\_\_\_ , \_\_\_\_ )\) years
(Note: The text prompts the user to follow specific statistical methods for calculating the confidence intervals, often using a parallel example or additional statistical tables or tools to obtain the necessary critical values for chi-squared distributions.)
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