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Relations in Categorical Data

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Presentation on theme: "Relations in Categorical Data"— Presentation transcript:

1 Relations in Categorical Data
Section 4.3

2 Marginal Distribution
Column and row totals If not already given, always calculate these first Percents are usually more informative than counts Get percents by dividing row or column total by the table total

3 Conditional Distribution
Compare the response variable for the separate values of the explanatory variable Distribution only refers to those things that satisfy the “condition”

4 Simpson’s Paradox Refers to the reversal of the direction of a comparison or an association when data from several groups are combined to form a single group Lurking variables in Simpson’s Paradox are categorical

5 Practice Problems pg. 245 # pg. 250 #

6 Chapter Review pg. 257 #4.72, ,


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