Explanatory and Response Variables, Correlation (2.1)

Mutually Exclusive and Exhaustive Events (6.4)

The Five Number Summary, Boxplots, and Outliers (1.6)

Percentiles (1.7)

The Effects of Outliers on Spread and Centre (1.5)

Symmetry and Skewness (1.8)

Density Curves and their Properties (5.1)

Causation vs Association, and an Introduction to Experiments (3.1)

Placebo Effect, Control Groups, and the Double Blind Experiment (3.2)

The Probability of the Union of Events (6.3)

Z-Scores, Standardization, and the Standard Normal Distribution (5.3)

Census, Nonresponse, and Undercoverage (4.2)

Introduction to the Probability of Continuous Variables (7.1)

The Normal Distribution and the 68-95-99.7 Rule (5.2)

Types of Experimental Designs (3.3)

Explanatory and Response Variables, Correlation (2.1)

The Binomial Experiment and the Binomial Formula (6.5)

Sampling Distributions (7.2)

Residuals (2.3)

Regression and R-Squared (2.2)

Probability of Independent and Dependent Events (6.2)

Visualizing the Binomial Distribution (6.6)

The Effects of Outliers and Extrapolation on Regression (2.4)

Probability, Sample Spaces, and the Complement Rule (6.1)

Types of Sampling Methods (4.1)