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# lab 6 - EXST 7005 Fall 2010 Lab #6: Chi-Squared Test of...

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1 EXST 7005 Fall 2010 Lab #6: Chi-Squared Test of Independence Chi-Squared Tests of Independence In the previous labs, we mainly talked about how to get statistics for numerical data. Today we are going to learn how to deal with categorical data. Among the statistics dealing with categorical data, the chi-square test is the most frequently used. The chi-square test provides a method for testing the association between the row and column variables in a two-way table. The null hypothesis H 0 is that there is no association between the two variables. In other words, one variable does not vary according to the other variable. By contrast, the alternative hypothesis H a claims that some association does exist although it does not specify the type of association. The chi-square test is based on a test statistic that measures the divergence of the observed data from the values expected under the null hypothesis. The expected value for each cell in a two-way table is calculated through (row total*column total)/n, where n is the total number of

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## lab 6 - EXST 7005 Fall 2010 Lab #6: Chi-Squared Test of...

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