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Frequency 25 20 15 10 5 0 -42.3 -42.2 -42.1 -42 -41.9 -41.8 + You can use your mouse to zoom or pan the plot and double-click to reset, or use the buttons in the upper right corner of the plot. Above is a randomisation distribution (n = 500) for a hypothesis test with HO: μ = -42, Ha: µ> -42. It shows what values of the sample statistic would be likely to occur if the null hypothesis is true. The p-value is the proportion of samples when the null hypothesis is true, that would give a statistic as extreme as (or more extreme than) the observed sample. We first discuss p-values in Section 4.2 Below, several possible values for a sample statistic are given. Match the given p-values with the sample statistics. x=-41.6, p-value= (No answer given) x = -41.9, p-value= (No answer given) x = -42, p-value= (No answer given) 41.8, p-value= (No answer given)

Frequency 25 20 15 10 5 0 -42.3 -42.2 -42.1 -42 -41.9 -41.8 + You can use your mouse to zoom or pan the plot and double-click to reset, or use the buttons in the upper right corner of the plot. Above is a randomisation distribution (n = 500) for a hypothesis test with HO: μ = -42, Ha: µ> -42. It shows what values of the sample statistic would be likely to occur if the null hypothesis is true. The p-value is the proportion of samples when the null hypothesis is true, that would give a statistic as extreme as (or more extreme than) the observed sample. We first discuss p-values in Section 4.2 Below, several possible values for a sample statistic are given. Match the given p-values with the sample statistics. x=-41.6, p-value= (No answer given) x = -41.9, p-value= (No answer given) x = -42, p-value= (No answer given) 41.8, p-value= (No answer given)

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
Problem 1P
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Subject: stetestic

Frequency 255 20 15 10 5 0 -42.3 -42.2 -42.1 -42 -41.9 Q -41.8 * You can use your mouse to zoom or pan the plot and double-click to reset, or use the buttons in the upper right corner of the plot. Above is a randomisation distribution (n = 500) for a hypothesis test with H0: µ = -42, Ha: µ> -42. It shows what values of the sample statistic would be likely to occur if the null hypothesis is true. The p-value is the proportion of samples when the null hypothesis is true, that would give a statistic as extreme as (or more extreme than) the observed sample. We first discuss p-values in Section 4.2 Below, several possible values for a sample statistic are given. Match the given p-values with the sample statistics. 41.6, p-value= (No answer given) 41.9, p-value= (No answer given) x = -42, p-value= (No answer given) x 41.8, p-value= (No answer given)
Transcribed Image Text:Frequency 255 20 15 10 5 0 -42.3 -42.2 -42.1 -42 -41.9 Q -41.8 * You can use your mouse to zoom or pan the plot and double-click to reset, or use the buttons in the upper right corner of the plot. Above is a randomisation distribution (n = 500) for a hypothesis test with H0: µ = -42, Ha: µ> -42. It shows what values of the sample statistic would be likely to occur if the null hypothesis is true. The p-value is the proportion of samples when the null hypothesis is true, that would give a statistic as extreme as (or more extreme than) the observed sample. We first discuss p-values in Section 4.2 Below, several possible values for a sample statistic are given. Match the given p-values with the sample statistics. 41.6, p-value= (No answer given) 41.9, p-value= (No answer given) x = -42, p-value= (No answer given) x 41.8, p-value= (No answer given)
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