POLSCI 3N06 Lecture Notes - Lecture 10: Test Statistic, Sampling Distribution, Chi-Squared Distribution
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Political science 3n06 2014 lecture 10a chi square. For example, cases where we know that the population is not normal or that. A non-parametric test one that does not require any assumptions about the population parameters. It can be also used for nominal variables. Calculating chi-square usually starts with the construction of a bivariate table (crosstabulation) Columns are the categories of the independent variable. Rows are the categories of the dependent variable. You can follow the same 5 step model as in previous weeks, to solve for chi- square: Step 1: make assumptions and meet test requirements. Independence in the context of the null refers to the variables we are comparing. What the null of independence means is that there is, in effect, no relationship between our independent and dependent variables. In effect, your groups are the same on the dependent variable at the population level.