1.1A - Analyzing Categorical Data
1.1B - Two-Way Tables and Marginal Distributions
1.2A - Displaying Quantitative Data with Graphs
1.3A - Describing Quantitative Data with Numbers
2.1A - Percentiles, Cumulative Relative Frequency Graphs
2.2A - The Empirical Rule (68-95-99.7)
2.2B - The Standard Normal Distribution
2.2C - Using the Calculator - Normal Calculations
3.1A - Scatterplots and Correlation
3.1B - Scatterplots and Correlation
3.2A - Least-Squares Regression
3.2C - The role of "s" and "r^2"
4.1C - Inference and Sample Surveys - What can go Wrong?
4.2A - Observational Study vs. Experiment
4.2B - How to Experiment Well and Completely Randomized Designs
4.2C - Experiments, What Can Go Wrong, Blocking
Extra topics added in 2019 to Chapter 4
5.1A - Randomness and Probability
5.2A - The Basics of Probability
5.2B - Two-Way Tables, Probability and The General Addition Rule
5.2C - Venn Diagrams and Probability
5.3A - Conditional Probability
5.3B - The General Multiplication Rule and Tree Diagrams
5.3C - Conditional Probability and Independence
5.3D - More on Independence and a Special Multiplication Rule
6.1A - Discrete and Continuous Random Variables
6.1B - Mean and Standard Deviation of a Random Variable
6.2A - Linear Transformations of Random Variables
6.2B - Combining Random Variables
6.2C - Mean of the Difference of Random Variables
6.3A - Binomial Random Variables
6.3B - Binomial Mean and Standard Deviation
6.3C - Geometric Random Variables
7.1A - Parameters and Statistics
7.1C - Unbiased Estimators and Sampling Variability
7.3B - The Central Limit Theorem
8.1A Interpreting Confidence Intervals and Confidence Levels
8.1B - Using Confidence Intervals Wisely
8.2A - Constructing a Confidence Interval
8.2B - Choosing the Sample Size
8.3A - Estimating a Population Mean (Why Use t*)
8.3B - Constructing a Confidence Interval for u
9.1A - Significance Tests The Basics
9.1B - Interpreting P-Values and Significance Tests
9.1C - Type I and Type II Errors
9.2A - Tests about a Population Proportion
9.2B - Two Sided Tests and Power
9.3A - Tests about a Population Mean
10.1A - Comparing Two Proportions
10.1B - Confidence Intervals for Difference in Proportions
10.1C - Significance Tests for Difference in Proportions
10.2B - Confidence Intervals for Difference of Means
10.2C - Significance Tests for Comparing Two Means
11.1A - Chi-Square Test Statistic
11.1B - Chi-Square Test for Goodness of Fit
11.2A - Chi-Square Test for Homogeneity
11.2B - Chi-Square Test for Independence
12.1A - Check Conditions for Inference for Linear Regression
12.1B - Constructing a Confidence Interval for Slope
12.1C - Performing a Significance Test for Slope
12.2A - Transforming to Achieve Linearity
12.2B - Transforming with Logs