BIOL 3P96 Study Guide - Midterm Guide: Poisson Distribution, Statistical Parameter, Analysis Of Variance

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Biol 3p96 review: which test should i use. Does your test involve just one variable, or are you testing the association between two or. One variable: usually testing whether a certain probability model fits the data, or whether a population parameter equals a specified value. Two variables: tests for whether the variables are associated, or whether one variable differs between groups. When testing for association, it matters whether the variables are categorical, numerical, or a mixture. Two treatments can be compared either with two independent samples, or with a. E. g. many powerful tests assume the data are drawn from a normal distribution. If this s not true, then another approach must be used. Use frequency data to test whether a population proportion equals a null hypothesized value. Use frequency data to test the fit of a specific population model. Chi-square goodness of fit with two categories (if sample size is too large for the binomial test) (chapter 8)

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