study was done on body temperatures of men and women. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed​ populations, and do not assume that the population standard deviations are equal.  a. The test​ statistic, t, is ​(Round to two decimal places as​ needed.)   b. The​ P-value is ​(Round to three decimal places as​ needed.)   c. Construct a confidence interval suitable for testing the claim that men have a higher mean body temperature than women. less than mu 1 minus mu 2 less

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A study was done on body temperatures of men and women. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed​ populations, and do not assume that the population standard deviations are equal. 

a. The test​ statistic, t, is

​(Round to two decimal places as​ needed.)
 
b. The​ P-value is
​(Round to three decimal places as​ needed.)
 
c. Construct a confidence interval suitable for testing the claim that men have a higher mean body temperature than women.
less than mu 1 minus mu 2 less than
​(Round to three decimal places as​ needed.)
This table compares temperature data between men and women. Here's the breakdown of the columns and rows:

### Table Data:

- **Columns:**
  - Men
  - Women

- **Rows:**
  - μ: Mean temperature, denoted as \( \mu_1 \) for men and \( \mu_2 \) for women.
  - n: Sample size
    - 11 for men
    - 59 for women
  - \(\overline{x}\): Average temperature
    - 97.64°F for men
    - 97.25°F for women
  - s: Standard deviation of temperature
    - 0.88°F for men
    - 0.69°F for women

This data is useful for analyzing the differences in mean body temperatures and their variances between men and women based on the samples provided.
Transcribed Image Text:This table compares temperature data between men and women. Here's the breakdown of the columns and rows: ### Table Data: - **Columns:** - Men - Women - **Rows:** - μ: Mean temperature, denoted as \( \mu_1 \) for men and \( \mu_2 \) for women. - n: Sample size - 11 for men - 59 for women - \(\overline{x}\): Average temperature - 97.64°F for men - 97.25°F for women - s: Standard deviation of temperature - 0.88°F for men - 0.69°F for women This data is useful for analyzing the differences in mean body temperatures and their variances between men and women based on the samples provided.
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