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Concerned with testing: Two factors: Test of Independence Whether or not a set of data fits a particular distribution: Goodness-ofFit Test Chi-square or X 2 Continuous distribution Generally, skewed to the right (long right tail) Shape changes when the dfs change (df = degrees of freedom and depends on the sample size) df = 2 df = 24 Chi-square or X 2 When the dfs are 90 or more, the chi-square curve and normal curve are almost the same. Mean and Standard Deviation μ = the # of dfs _________ σ = √2(# of dfs) Example: For a chi-square distribution with df = 45, μ = 45 _____ σ = √2(45) = 9.4868