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Chi-Square Test
Chi-Square Test
Lesson Plans
- Chi-Square Test (Columbia.edu)
Provides lessons on the chi-square test. 8-05
- Chi-Square Test (Georgetown.edu -Connor-Linton)
"Chi square is a non-parametric test of statistical significance for bivariate tabular analysis (also known as crossbreaks). Any appropriately performed test of statistical significance lets you know the degree of confidence you can have in accepting or rejecting an hypothesis. Typically, the hypothesis tested with chi square is whether or not two different samples (of people, texts, whatever) are different enough in some characteristic or aspect of their behavior that we can generalize from our samples that the populations from which our samples are drawn are also different in the behavior or characteristic." 8-05
Materials
- Chi-Square Calculator (Georgetown.edu)
 "This page allows you to perform the chi square test for statistical significance. Enter the number of rows and columns for your test, and a table will be generated in which you can enter your data." 8-05
Papers
- Chi-Square Test (Six Sigma)
"The Chi Square Test is a statistical test which consists of three different types of analysis 1) Goodness of fit, 2) Test for Homogeneity, 3) Test of Independence."
"Chi Square is the most popular discrete data hypothesis testing method." 8-05
- Chi-Square Test - Pearson's (Wikipedia.org)
Provides a description of the test. "It tests a null hypothesis that the relative frequencies of occurrence of observed events follow a specified frequency distribution. The events must be mutually exclusive." 8-05
- Chi-Square Test and Two-Way Tables (Yale.edu)
"When analysis of categorical data is concerned with more than one variable, two-way tables (also known as contingency tables) are employed. These tables provide a foundation for statistical inference, where statistical tests question the relationship between the variables on the basis of the data observed." Provides a full example of how the chi-square test is used with two-way tables. 8-05
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