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P G STAT 531 Lecture 8 Chi square test

Aashish Patel, profile picture
Aashish Patel

The document provides information on the Chi-Square test, a non-parametric test used to analyze categorical data. It discusses two main applications of the Chi-Square test: 1) testing goodness-of-fit of observed data to expected frequencies and 2) testing independence of attributes. Several examples are provided to demonstrate how to calculate the Chi-Square statistic and determine if the result is statistically significant based on the degrees of freedom and selected significance level.

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P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test
P G STAT 531 Lecture 8 Chi square test

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