- Lesson #1: Introduction to Statistics and Excel
- Lesson #2: Graphical Descriptive Techniques
- Lesson #3: Measures of Central Location and Variability
- Lesson #4: Covariance and Coefficient of Correlation
- Lesson #5: Least Squares Method and Regression
- Lesson #6: Assigning Probabilities to Events; Probability Rules
- Lesson #7: Experiments Having Equally Likely Outcomes
- Lesson #8: Conditional Probability and Independence
- Lesson #9: Relative Frequency Distribution and z-scores
- Lesson #10: Random Variables, Probability Distributions
- Lesson #11: Expected Value and Variance
- Lesson #12: Binomial Distribution
- Lesson #13: Poisson Distribution
- Lesson #14: Continuous Random Variables
- Lesson #15: Normal Random Variables
- Lesson #16: Finding Normal Probabilities
- Lessons #17 & #18: Sample Mean and Distribution of Sample Mean
- Lesson #19: Distribution of the Sample Variance of a Normal Population
- Lesson #20: Estimating Population Means
- Lesson #21: Hypothesis Testing with Known Standard Deviation
- Lesson #22: Inference about a Population Mean with Unknown Standard Deviation
- Lesson #23: Chi-Squared Goodness of Fit Test
- Lesson #24: Chi-Squared Test for Independence -Contingency Table