## Fall 2018 – Inferential Statistics

BUSAD 265 Inferential Statistics Course page

- Final Exam Results
- Review for Final Exam, Part 2
- Review for Final Exam, Part 1
- Exam 3 Results
- Review for Exam 3
- Lesson 19: One-Tail vs Two-Tail Significance Testing
- Lesson 18: Tests of Significance
- Lesson 17: Political Polling in Colorado Congressional District 3
- Lesson 16: Inference for Proportions
- Lesson 15: The t-distribution for Small Sample Inference
- Lesson 14: Estimation with Confidence Intervals
- Lesson 13: Sampling Distributions and the Central Limit Theorem
- Lesson 12: Election Polling Project
- Exam 2 Results
- Lesson 11: Design of Experiments, Sampling and Surveys
- Review for Exam 2
- Lesson 10: Cautions about Correlation and Regression
- Lesson 9: Pearson Correlation Coefficient and R-Squared
- Lesson 8: Linear Regression
- Lesson 7: Least Squares Regression
- Lesson 6: Scatterplots
- Exam 1 Results
- Review for Exam 1
- Lesson 5: Solving Normal Curve Problems
- Lesson 4: Normal Curves and Z-Scores
- Lesson 3: Measuring Variance and Standard Deviation
- Lesson 2: Measures of Center, Percentiles and Boxplots
- Lesson 1: Data Distributions with Stemplots and Histograms
- Introduction to Statistics