Fall 2024 – Inferential Statistics
BUSAD 265 Course Page
- Final Exam Review
- Lesson 21: Exam 3 Review and Portfolio Check
- Review for Exam 3
- Lesson 20: Measuring Forecast Error
- Lesson 19: Special Election Forecasting Exercise
- Lesson 18: Cautions about Correlation and Regression
- Lesson 17: Pearson Correlation Coefficient and R-Squared
- Lesson 16: Linear Regression
- Lesson 15: Least Squares Regression
- Review for Exam 2
- Lesson 14: Scatterplots
- Lesson 13: One-Tail vs Two-Tail Significance Testing
- Lesson 12: Significance Testing
- Lesson 11: The t-distribution for Small Sample Inference
- Lesson 10: Inference for Proportions
- Lesson 9: Estimation of Population Parameters with Confidence Intervals
- Lesson 8: Sampling Distributions and the Central Limit Theorem
- Lesson 7: Sampling and Inference
- Review for Exam 1
- Lesson 6: Solving Normal Curve Problems
- Lesson 5: Normal Curve and Z-Scores
- Lesson 4: Measuring Variance and Standard Deviation
- Lesson 3: Measures of Center, Percentiles and Boxplots
- Lesson 2: Data Distributions with Stemplots and Histograms
- Lesson 1: Introduction to Statistics
