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.)
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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