PSYC 2040 Lecture : Lab Review November 19 .docx
24 Jan 2014
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Chi square: use capitol x squared, used for testing for difference between observed and expected frequencies, observed is however many people who fall in the category, expected is calculated, can be called goodness of fit or test of independence, null is that the variables are independent, alternative is that the variables are associated (related, don"t do one line per subject, go data (cid:224) weight cases (cid:224) weight cases by frequency (number of people in each. Independent (cid:224) they are related, dependent (cid:224) they aren"t related condition: analyze (cid:224) descriptive (cid:224) crosstabs, doesn"t really matter which ones you put where (cid:224) gender in the row and silliness in column, go to stats, and get chi square, cells (cid:224) observed expected and unstandardized, example: x2 (1) = 12. 70, p < 0. 01.
