Problem Identification

# Problem Identification - For each combination of response...

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Unformatted text preview: 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 Inferences on population median Or difference of population medians Non-parametric Tests (Not covered) Two Independent Groups Matched Pairs Differences p 1 – p 2 McNemar’s Test (Not covered) Several Groups (Not covered) Predictor is Quantitative One Quantitative Predictor Are predictors good? Nonparametric Regression (Not covered) Several Predictors (at least some quantitative) 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 Inferences on population median...
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Problem Identification - For each combination of response...

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