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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Subject: stetestic

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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