Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is µ > 98.6°F. The sample size is n= 9 and the test statistic is t=1.472. P-value =D (Round to three decimal places as needed.)

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**Hypothesis Testing: Calculating the P-value**

In this example, you will learn how to use technology to find the P-value for a given hypothesis test.

**Hypothesis Test Details:**
- **Claim:** For 12 AM body temperatures, we consider that the mean temperature \( \mu > 98.6^\circ F \).
- **Sample Size:** \( n = 9 \)
- **Test Statistic:** \( t = 1.472 \)

To complete this process, you'll need to calculate the P-value using the test statistic provided. Remember to round the P-value to three decimal places as needed. 

**Instructions:**
- Input the test statistic and sample size into a statistical software or calculator capable of performing t-tests.
- Obtain the P-value from the output.

**Note:** Understanding how to calculate and interpret the P-value is crucial for hypothesis testing. It helps determine the statistical significance of the test results.
Transcribed Image Text:**Hypothesis Testing: Calculating the P-value** In this example, you will learn how to use technology to find the P-value for a given hypothesis test. **Hypothesis Test Details:** - **Claim:** For 12 AM body temperatures, we consider that the mean temperature \( \mu > 98.6^\circ F \). - **Sample Size:** \( n = 9 \) - **Test Statistic:** \( t = 1.472 \) To complete this process, you'll need to calculate the P-value using the test statistic provided. Remember to round the P-value to three decimal places as needed. **Instructions:** - Input the test statistic and sample size into a statistical software or calculator capable of performing t-tests. - Obtain the P-value from the output. **Note:** Understanding how to calculate and interpret the P-value is crucial for hypothesis testing. It helps determine the statistical significance of the test results.
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