Which test blank - For each combination of response and...

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For each combination of response and predictor, a)What do we want to infer? b)Which test(s) should we use? c)What are the assumptions needed? Response has a Normal Distribution Response is Quantitative but NON-Normal Distribution Response is Categorical Predictor is Categorical (Factor) One Group μ = mean response in the population η = median response in the population p = Proportion of “Success”s in the population p 1 , p 2 , …, p k Two Independent Groups μ 1 μ 2 = difference of mean response in the two populations η 1 – η 2 = difference of median response in the two populations p 1 – p 2 difference of proportion of “Success”s in the two populations What if k categories Matched Pairs Differences μ d = μ 1 μ 2 = mean of the population of differences η 1 – η 2 = difference of median response in the two populations p 1 – p 2 difference of proportion of “Success”s in dependent populations Several Groups i j μ - = differences of mean responses in the g(g–1)/2 pairs of populations i j η - = differences of mean responses in the g(g–1)/2 pairs of populations Differences of the distribution of response between populations or association between two categorical
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Which test blank - For each combination of response and...

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