PSYC 2002 Lecture Notes - Lecture 9: Natural Number

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Test of independence: normality. not a distribution of scores in a population. how they compare w other levels. Know goodness of fit for mc, but will not be tested on actual problem. Know as non-parametric tests (parametric tests= t-test or f-test) No inferences about any population parametric- distribution free test, no sense of. Counting number of ppl who fall into one category w 2 levels or more as they relate to. Should not get chi squares less than 0, if u get neg. value u fucked up. the values tend. Assumption: every score has to be independent of each other- ppl within the cells have x^2: do not squre it or anything. that is just the formula. Fe: _______ to be very large to be different- should have at least 5 in each cell in order to not commit type 1 error.

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