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Given a sample size of 12, test the null hypothesis that Ho: µ = 37.5 against the alternative H1: u < 37.5. The one-san t-statistic has been calculated to be t = -1.059. Use software to compute the P-value of this statistic. Give your answer decimal rounded to three places. This list of software manuals contains instructions on how to compute a P-value with the technology you are using.

Given a sample size of 12, test the null hypothesis that Ho: µ = 37.5 against the alternative H1: u < 37.5. The one-san t-statistic has been calculated to be t = -1.059. Use software to compute the P-value of this statistic. Give your answer decimal rounded to three places. This list of software manuals contains instructions on how to compute a P-value with the technology you are using.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Given a sample size of 12, test the null hypothesis that \( H_0: \mu = 37.5 \) against the alternative \( H_1: \mu < 37.5 \). The one-sample \( t \)-statistic has been calculated to be \( t = -1.059 \). Use software to compute the \( P \)-value of this statistic. Give your answer as a decimal rounded to three places. This list of [software manuals](#) contains instructions on how to compute a \( P \)-value with the technology you are using. \[ P\text{-value} = \boxed{} \]
Transcribed Image Text:Given a sample size of 12, test the null hypothesis that \( H_0: \mu = 37.5 \) against the alternative \( H_1: \mu < 37.5 \). The one-sample \( t \)-statistic has been calculated to be \( t = -1.059 \). Use software to compute the \( P \)-value of this statistic. Give your answer as a decimal rounded to three places. This list of [software manuals](#) contains instructions on how to compute a \( P \)-value with the technology you are using. \[ P\text{-value} = \boxed{} \]
Expert Solution
Step 1

Excel function for P-value of the left sided one sample t test.

"T.DIST(x, deg_freedom, cumulative)"

Here,

x represents the test statistic

degrees of freedom:n-1

 

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