CRIM 320 Lecture 5: Crim 320.Week 5 February 5.docx
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Outline the steps involved in conducting a chi-square analysis. Know when to use each of the tests. Chi square uses a nominal variable - names, labels, exhaustive and exclusive categories. There are no mathematical qualities to nominal variables ex. male, female. A nominal level variable could never be considered normal, it will never take on a normal curve. The basic idea and logic of chi square analysis. Null hypothesis: the two variables are independent. Must understand 2 related concepts: expected counts - what would occur if no relationship, observed counts - what we actually see. If the observed counts are sufficiently different from the expected counts, we reject the null hypothesis. All we can tell from a chi sq analysis is whether or not two variables are related to one another - the association. If the hypothesis is null, the variables are independent and there is no relationship.