A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9°F and a standard deviation of 0.63°F. Construct a 99% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6°F as the mean body temperature? Click here to view a t distribution table. Click here to view page 1 of the standard normal distribution table, Click here to view page 2 of the standard normal distribution table, What is the confidence interval estimate of the population mean u? (Round to three decimal places as needed.)

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### Confidence Interval Estimate for Mean Body Temperature

A data set includes 106 body temperatures of healthy adult humans. The sample has a mean of 98.9°F and a standard deviation of 0.63°F. Our goal is to construct a 99% confidence interval estimate of the mean body temperature for all healthy humans. Additionally, we will evaluate whether the sample data suggest reconsidering the commonly accepted mean body temperature of 98.6°F.

#### Useful Resources:
- [Click here to view a t distribution table.](URL)
- [Click here to view page 1 of the standard normal distribution table.](URL)
- [Click here to view page 2 of the standard normal distribution table.](URL)

#### Confidence Interval Calculation:
What is the confidence interval estimate of the population mean \( \mu \)?

\[ \boxed{}^\circ F < \mu < \boxed{}^\circ F \]

(Round to three decimal places as needed.)

To calculate this confidence interval, consider the sample mean (\(\overline{x}\)), the standard deviation (\(s\)), the sample size (\(n\)), and the desired level of confidence. 

#### Explanation of Resources:
- **T Distribution Table:** Use this table to find the critical value for the t-distribution, which is appropriate when the sample size is less than 30 or the population standard deviation is unknown.
- **Standard Normal Distribution Table (Pages 1 & 2):** These tables provide the critical values for the z-distribution, which is used when the population standard deviation is known, and the sample size is large (n > 30).

Use these resources to find the critical values that will allow you to calculate the bounds of the confidence interval accurately.

**Note:** Depending on the method you choose (t-distribution vs normal distribution), ensure to select the correct critical value corresponding to the 99% confidence level.

Feel free to input your calculations in the provided fields and round your answer to three decimal places for precision in reporting.
Transcribed Image Text:### Confidence Interval Estimate for Mean Body Temperature A data set includes 106 body temperatures of healthy adult humans. The sample has a mean of 98.9°F and a standard deviation of 0.63°F. Our goal is to construct a 99% confidence interval estimate of the mean body temperature for all healthy humans. Additionally, we will evaluate whether the sample data suggest reconsidering the commonly accepted mean body temperature of 98.6°F. #### Useful Resources: - [Click here to view a t distribution table.](URL) - [Click here to view page 1 of the standard normal distribution table.](URL) - [Click here to view page 2 of the standard normal distribution table.](URL) #### Confidence Interval Calculation: What is the confidence interval estimate of the population mean \( \mu \)? \[ \boxed{}^\circ F < \mu < \boxed{}^\circ F \] (Round to three decimal places as needed.) To calculate this confidence interval, consider the sample mean (\(\overline{x}\)), the standard deviation (\(s\)), the sample size (\(n\)), and the desired level of confidence. #### Explanation of Resources: - **T Distribution Table:** Use this table to find the critical value for the t-distribution, which is appropriate when the sample size is less than 30 or the population standard deviation is unknown. - **Standard Normal Distribution Table (Pages 1 & 2):** These tables provide the critical values for the z-distribution, which is used when the population standard deviation is known, and the sample size is large (n > 30). Use these resources to find the critical values that will allow you to calculate the bounds of the confidence interval accurately. **Note:** Depending on the method you choose (t-distribution vs normal distribution), ensure to select the correct critical value corresponding to the 99% confidence level. Feel free to input your calculations in the provided fields and round your answer to three decimal places for precision in reporting.
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