**Special Note:**These videos are not meant to replace the textbook but rather to supplement it. In some instances the videos may not cover all necessary topics, and in other instances the videos may cover more topics than necessary. Use with discretion for your own benefit.

## Chapter 1: Data Collection

## Chapter 3: Numerically Summarizing Data

## 3.1 Measures of Central Tendency

## 3.2 Measures of Dispersion

## 3.3 Measures of Central Tendency and Dispersion from Grouped Data

## 3.4 Measures of Position and Outliers

## 3.5 The Five-Number Summary and Boxplots

## Chapter 4: Describing the Relation Bewteen Two Variables

## 4.1 Scatter Diagrams and Correlation

## 4.2 Least-Squares Regression

## Chapter 5: Probability

## 5.1 Probability Rules

## 5.2 The Addition Rule and Complements

## 5.3 Independence and the Multiplication Rule

## 5.4 Conditional Probability and the General Multiplication Rule

## 5.5 Counting Techniques

## 5.6 Putting It Together: Probability

## Chapter 6: Discrete Probability Distributions

## 6.1 Discrete Random Variables

## 6.2 The Binomial Probability Distribution

## 6.3 The Binomial Probability Distribution

## Chapter 7: The Normal Probability Distribution

## Chapter 8: Sampling Distributions

## Chapter 9: Estimating the Value of a Parameter Using Confidence Intervals

## Chapter 10: Hypothesis Tests Regarding a Parameter

Simple Hypothesis Testing, Part 1

Simple Hypothesis Testing, Part 2

Hypothesis Testing with One Sample

Simple Hypothesis Testing, Part 2

Hypothesis Testing with One Sample

## Chapter 11: Inference on Two Samples

## Miscellaneous

Chi-Square Probability Distribution

Analysis of Variance (ANOVA)

Probability and Statistics Readiness Warmup

Analysis of Variance (ANOVA)

Probability and Statistics Readiness Warmup

**Prepared by Jeffrey Swigart**