We have studied 2 different test statistics, z, and X2. Explain the similarities in; How each test statistic is calculated How each test statistic is used to determine if the sample statistic provides enough evidence against the null hypothesis to reject it.
We have studied 2 different test statistics, z, and X2. Explain the similarities in; How each test statistic is calculated How each test statistic is used to determine if the sample statistic provides enough evidence against the null hypothesis to reject it.
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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Question
We have studied 2 different test statistics, z, and X2. Explain the similarities in;
- How each test statistic is calculated
- How each test statistic is used to determine if the sample statistic provides enough evidence against the null hypothesis to reject it.
*i saw another answer on here but it didn't go in depth so im still confused
Expert Solution
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Step 1
1.The z-test statistic for independent proportions and the chi-square test statistic are related to each other in such a way that the square of the z-test statistic is equal to the chi-square test statistic. That is,
Step 2
The chi-square test statistic is,
The chi-square test statistic is derived using the z-test statistic for proportion.
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