Ch 1. Introduction to Statistics
1-2: Statistical Thinking (19:00)
1-3: Types of Data (8:50)
1-4: Critical Thinking (13:05)
1-5: Collecting Sample Data (8:48)

Ch 2. Summarizing and Graphing Data
2-2: Frequency Distributions (18:54)
2-3: Histograms (11:26)
2-4: Statistical Graphics (17:45)
2-5: Critical Thinking: Bad Graphs (12:25)

Ch 3. Statistics for Describing, Exploring, and Comparing Data
3-2: Measures of Center (13:47)
3-3: Measures of Variation (16:37)
3-4: Measures of Relative Standing and Boxplots (20:15)

Ch 4. Probability
4-2: Basic Concepts of Probability(19:42)
4-3: Addition Rule (15:19)
4-4: Multiplication Rule: Basics (14:06)
4-5: Multiplication Rule: Complements and Conditional Probability (8:46)
4-6: Probabilities Through Simulations (7:19)
4-7: Counting (17:36)

Ch 5. Discrete Probability Distributions
5-2: Random Variables (15:00)
5-3: Binomial Probability Distributions (15:25)
5-4: Mean, Variance, and Standard Deviation for the Binomial Distribution (10:27)
5-5: Poisson Distributions (16:03)

Ch 6. Normal Probability Distributions
6-2: The Standard Normal Distribution (15:30)
6-3: Applications of Normal Distributions (14:17)
6-4: Sampling Distributions and Estimators (12:26)
6-5: The Central Limit Theorem (14:44)
6-6: Normal as Approximation to Binomial (12:29)
6-7: Assessing Normality (7:23)

Ch 7. Estimates and Sample Sizes
7-2: Estimating a Population Proportion (23:09)
7-3: Estimating a Population Mean: Sigma Known (14:47)
7-4: Estimating a Population Mean: Sigma Not Known (21:00)
7-5: Estimating a Population Variance (17:13)

Ch 8. Hypothesis Testing
8-2: Basics of Hypothesis Testing (24:06)
8-3: Testing a Claim About a Proportion (18:00)
8-4: Testing a Claim About a Mean: Sigma Known (7:12)
8-5: Testing a Claim About a Mean: Sigma Not Known (8:12)
8-6: Testing a Claim About a Standard Deviation or Variation (15:06)

Ch 9. Inferences from Two Samples
9-2: Inferences About Two Proportions (16:09)
9-3: Inferences About Two Means: Independent Samples (13:56)
9-4: Inferences from Dependent Samples (13:41)
9-5: Comparing Variation in Two Samples (11:16)

Ch 10. Correlation and Regression
10-2: Correlation (7:34)
10-3: Regression (8:54)
10-4: Variation and Prediction Intervals (8:21)
10-5: Multiple Regression (7:20)
10-6: Modeling (17:28)

Ch 11. Goodness-of-Fit and Contingency tables
11-2: Goodness-of-Fit (19:00)
11-3: Contingency Tables (15:48)
11-4: McNemar's Test for Matched Pairs (12:47)

Ch 12. Analysis of Variance
12-2: One-Way ANOVA (8:02)
12-3: Two-Way ANOVA (11:33)

Ch 13. Nonparametric Statistics
13-2: Sign Test (18:38)
13-3: Wilcoxon Signed Ranks Test for Matched Pairs (14:33)
13-4: Wilcoxon Rank-Sum Test for Two Independent Samples (17:14)
13-5: Kruskal-Wallis Test (15:30)
13-6: Rank Correlation (11:37)
13-7: Runs Test for Randomness (9:43)

Ch 14. Statistical Process Control
14-2: Control Charts for Variation and Mean (16:48)
14-3: Control Charts for Attributes (9:47)