Exam1 Review - Chapter 1 Design Description Inference...

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Chapter 1 Design Description Inference Population Parameters Samples Statistics Chapter 2 Categorical Data Discrete Quantitative Data Continuous Quantitative Data Histogram: Shape, Center, Spread Stem and Leaf Plot
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Measures of Center: Mean Median Mode Measures of Spread Range IQR Variance Std. Dev. Quartiles and Boxplots Empirical Rule Chapter 3 Explanatory variable Response variable Conditional Probability Contingency tables Scatterplots (direction, spread, trend) Correlation Least Squares Regression What is it? Be able to use the slope and y intercept formulas Be able to interpret the slope and y intercept What is R 2 ? Be able to make predictions.
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Residual Analysis What is a residual? What are outliers? What are influential outliers? Cautions Extrapolation Lurking Variables -- Misuse of Cause and Effect Simpson’s Paradox Confounding Chapter 4
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Exam1 Review - Chapter 1 Design Description Inference...

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