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= 3 and the test statistic is t= 2.593. P-value = (Round to three decimal places as needed.)

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= 3 and the test statistic is t= 2.593. P-value = (Round to three decimal places as needed.)

Name: **Hypothesis Test P-Value Calculation**For the hypothesis test descri
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Description: **Hypothesis Test P-Value Calculation**For the hypothesis test described below, use technology to find the P-value:- **Claim**: For 12 AM body temperatures, the mean is $\mu > 98.6^\circ F$.- **Sample Size**: $n = 3$- **Test Statistic**: \(t = 2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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**Hypothesis Test P-Value Calculation**

For the hypothesis test described below, use technology to find the P-value:

- **Claim**: For 12 AM body temperatures, the mean is $\mu > 98.6^\circ F$.
- **Sample Size**: $n = 3$
- **Test Statistic**: $t = 2.593$

**P-value**: □ (Round to three decimal places as needed.)

In this context, you are testing if the average body temperature at 12 AM exceeds 98.6°F. Using statistical software or a t-table, you can calculate the P-value for the one-sample t-test based on these parameters.

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