It has long been stated that the mean temperature of humans is 98.6°F. However, two researchers currently involved in the subject thought that the mean temperature of humans is less than 98.6°F. They measured the temperatures of 50 healthy adults 1 to 4 times daily for 3 days, obtaining 225 measurements. The sample data resulted in a sample mean of 98.3°F and a sample standard deviation of 1°F. Use the P-value approach to conduct a hypothesis test to judge whether the mean temperature of humans is less than 98.6°F at the a= 0.01 level of significance.

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**Hypothesis Testing of Mean Human Temperature**

It has long been stated that the mean temperature of humans is 98.6°F. However, two researchers currently involved in the subject thought that the mean temperature of humans is less than 98.6°F. They measured the temperatures of 50 healthy adults 1 to 4 times daily for 3 days, obtaining 225 measurements. The sample data resulted in a sample mean of 98.3°F and a sample standard deviation of 1°F. Use the P-value approach to conduct a hypothesis test to judge whether the mean temperature of humans is less than 98.6°F at the α = 0.01 level of significance.

**State the Hypotheses**

- \( H_0: \) (1) _______ (2) _______ 98.6°F
- \( H_1: \) (3) _______ (4) _______ 98.6°F

**Find the Test Statistic**

- \( t_0 = \) _______ (Round to two decimal places as needed.)

**The P-value is** _______ (Round to three decimal places as needed.)

**What can be concluded?**

- **A.** Reject \( H_0 \) since the P-value is not less than the significance level.
- **B.** Reject \( H_0 \) since the P-value is less than the significance level.
- **C.** Do not reject \( H_0 \) since the P-value is less than the significance level.
- **D.** Do not reject \( H_0 \) since the P-value is not less than the significance level.
Transcribed Image Text:**Hypothesis Testing of Mean Human Temperature** It has long been stated that the mean temperature of humans is 98.6°F. However, two researchers currently involved in the subject thought that the mean temperature of humans is less than 98.6°F. They measured the temperatures of 50 healthy adults 1 to 4 times daily for 3 days, obtaining 225 measurements. The sample data resulted in a sample mean of 98.3°F and a sample standard deviation of 1°F. Use the P-value approach to conduct a hypothesis test to judge whether the mean temperature of humans is less than 98.6°F at the α = 0.01 level of significance. **State the Hypotheses** - \( H_0: \) (1) _______ (2) _______ 98.6°F - \( H_1: \) (3) _______ (4) _______ 98.6°F **Find the Test Statistic** - \( t_0 = \) _______ (Round to two decimal places as needed.) **The P-value is** _______ (Round to three decimal places as needed.) **What can be concluded?** - **A.** Reject \( H_0 \) since the P-value is not less than the significance level. - **B.** Reject \( H_0 \) since the P-value is less than the significance level. - **C.** Do not reject \( H_0 \) since the P-value is less than the significance level. - **D.** Do not reject \( H_0 \) since the P-value is not less than the significance level.
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