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