Fall 2025 – Inferential Statistics
BUSAD 265 Course Page
- Lesson 23: Regression with a Categorical Predictor (Two-group case)
- Lesson 22: Review for Exam 3
- No Class Today
- Lesson 21: Cautions about Correlation and Regression
- Lesson 20: Pearson Correlation Coefficient and R-Squared
- Lesson 19: Linear Regression
- Lesson 18: Least Squares Regression
- Lesson 17: Scatterplots
- Lesson 16: Review for Exam 2
- Lesson 15: One-Tail vs Two-Tail Significance Testing
- Lesson 14: Significance Testing
- Lesson 13: The t-distribution for Small Sample Inference
- Lesson 12: Inference for Proportions
- Lesson 11: Estimation of Population Parameters with Confidence Intervals
- Lesson 10: Sampling Distributions and the Central Limit Theorem
- Lesson 9: Sampling and Inference 2
- Lesson 8: Sampling and Inference
- Lesson 7: 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