## Fall 2019 – Inferential Statistics

BUSAD 265 Inferential Statistics Course page

- Review for Exam 3
- Lesson 19: Cautions about Correlation and Regression
- Lesson 18: Pearson Correlation Coefficient and R-Squared
- Lesson 17: Linear Regression
- Lesson 16: Least Squares Regression
- Lesson 15: Scatterplots
- Exam 2 Results
- Review for Exam 2
- Lesson 14: Significance Testing Take 2
- Lesson 13: One-Tail vs Two-Tail Significance Testing
- Lesson 12: Tests of Significance
- Lesson 11: Inference for Proportions
- Lesson 10: The t-distribution for Small Sample Inference
- Lesson 9: Estimation with Confidence Intervals
- Lesson 8: Sampling Distributions and the Central Limit Theorem
- Lesson 7: Census, Sampling, Surveys and Inference
- Exam 1 Results
- 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