W3 Lecture Part II

W3 Lecture Part II - Week Three Lecture Part II This week...

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Week Three Lecture – Part II This week let’s continue to discuss chi-square and focus on the equal expected frequencies. This will be a brief lecture because this application of chi-square is very simple. In Week Three, we are examining and applying chi-square as a “Goodness-of- Fit.” This form of chi-square is commonly used to test the significance of expected frequencies. The goodness of fit test is one of the most commonly used nonparametric tests. Let’s look at chi-square as a test with equal expected frequencies. The e-book describes the utility of this form of test as a nonparametric application. As we also know, nonparametric data are nominal and ordinal data. According, these data are free from assumptions regarding the shape of the population, and are distribution free tests. The chi-square testing procedure is the same as the test sequence for z and t. The formula for this form of chi-square testing is: x 2 = [ (fo –fe) 2 ] fe with k – 1 degrees of freedom where:
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W3 Lecture Part II - Week Three Lecture Part II This week...

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