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Chapter 5: How Variables Classify Jointly: Contingency Tables.

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Presentation on theme: "Chapter 5: How Variables Classify Jointly: Contingency Tables."— Presentation transcript:

1 Chapter 5: How Variables Classify Jointly: Contingency Tables

2 Binomial / Bernoulli Distribution 1654-1705

3 Binomial Formula

4 Excel Binomial Distribution

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6 Cell Phone Quality Control Your company will be satisfied if only 1% of its phones fail to establish a connection with a cell tower that’s within reach. GoalSamplePrediction 100050? 1%4%? 102?

7 Understanding One-Way Pivot Tables

8 Using the BINOM.DIST() Function

9 Understanding Two-Way Pivot Tables

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12 Cross-Tabulation Predictor Variables Outcome Variables Significance Testing gender income race hispanic education age employment parent Demographics Predictors: Mostly Categorical Continuous Categorical Party ID census region

13 Z-Test Proportions A chi-square test for equality of two proportions is exactly the same thing as a z -test.

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16 Chi-Square vs. Z-Test Proporations


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