Exam1Review - Chapter 1 Design / Description / Inference...

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Chapter 1 Design / Description / Inference Population / Samples Parameters / Statistics Chapter 2 Categorical Data / Discrete Quantitative Data / Continuous Quantitative Data Histogram: Shape, Center, Spread Stem and Leaf Plot Measures of Center: Mean Median Mode Measures of Spread Range IQR Variance Std. Dev. Quartiles and Boxplots Empirical Rule (68 – 95 – 99.7%) Chapter 3 Explanatory variable / Response variable Contingency tables and Conditional Probability 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. Residual Analysis What is a residual? What are outliers? What are influential outliers?
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This note was uploaded on 04/04/2012 for the course STA 2023 taught by Professor Ripol during the Spring '08 term at University of Florida.

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Exam1Review - Chapter 1 Design / Description / Inference...

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