Anticipating Patterns
Original chapter 3, in textbook order.
Chapter 3
- 3.1 Introduction to Probability ↗
- 3.2 Probability Rules ↗
- 3.3 Probability Distributions ↗
- 3.4 Normal Distributions ↗
- 3.5 Transforming and Combining Random Variables ↗
- 3.6 Sampling Distributions of Sample Proportions ↗
- 3.7 Sampling Distributions of Sample Means ↗
- 2.1 Seeing Relationships Between Categorical Variables ↗
- 2.2 Joint, Marginal and Conditional Relative Frequencies ↗
- 2.3 Chance Models and Simulation ↗
- 2.4 Events, Sample Spaces and Complements ↗
- 2.5 Joint Probability and Disjoint Events ↗
- 2.6 Conditional Probability and Multiplication ↗
- 2.7 Independence and the Union of Events ↗
- 2.8 Constructing Discrete and Cumulative Distributions ↗
- 2.9 Mean and Spread of a Discrete Distribution ↗
- 2.10 Binomial Counts: Model, Calculate and Interpret ↗
- 2.11 Normal Models: Areas, Cutoffs and Relative Position ↗
- 2.12 Sampling and Randomization Distributions ↗
- 3.1 Point Estimates and Unbiased Estimators ↗
- 3.2 Sampling Distributions for Sample Proportions ↗
- 3.9 Differences Between Sample Proportions ↗
- 4.1 Sampling Distributions for Sample Means ↗
- 4.6 Differences Between Two Sample Means ↗