Lessons

• 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