Exploring Data
Original chapter 1, in textbook order.
Chapter 1
- 1.1 Categorical Data ↗
- 1.2 Graphing Quantitative Data ↗
- 1.3 Numerical Summaries of Quantitative Data ↗
- 1.4 Measuring Position of Quantitative Data ↗
- 1.5 Correlation and Linear Regression ↗
- 1.6 Expanding on Linear Regression ↗
- 1.7 Transformations to Achieve Linearity ↗
- One Categorical Variable: Tables and Summaries ↗
- One Categorical Variable: Bar and Pie Charts ↗
- One Quantitative Variable: Histograms, Stems, and Dots ↗
- Describe a Quantitative Distribution in Context ↗
- Summary Statistics: Calculate and Choose ↗
- Five-Number Summaries and Boxplots ↗
- Compare Quantitative Distributions and Relative Position ↗
- Scatterplots: Preserve, Describe, and Defend the Pattern ↗
- Correlation: Linear Strength, Direction, and Limits ↗
- Linear Predictions: Substitute, Interpret, and Check the Range ↗
- Residuals: Signed Differences and Model Form ↗
- Least Squares: Calculate the Fit and Interpret Its Coefficients ↗