**Fall 2020:**

#### 1. First Lecture in BUAD 300

*Provides a general introduction to the course and reviews the parameters of probability distributions.*

#### 2. Second Lecture in BUAD 300

*Review of the normal distribution.*

#### 3. Linear Combinations

*Examines the characteristics of the parameters of linear combinations of random variables.*

#### 4. Introduction to Hypothesis Testing

*Reinforces concepts from Stat 200.*

#### 5. Review of the one-sample t-Distribution

*Provides a review of the one-sample t-distribution.*

#### 6. Review of the two-sample t-distribution

*Provides a review of the two-sample t-distribution.*

#### 7. t-Test: Minitab Tutorial

*Provides illustrated Minitab instructions required to perform a one-sample t-test*.

#### 8. Correlation

*Introduces basic concepts regarding correlation.*

#### 9. Ordinary Least Squares

*Provides an introduction to the most frequently used method for estimating linear regression parameters – Ordinary Least Squares (OLS).*

#### 10. OLS Significant Estimators Review

*Reviews residual error assumptions and significance test for OLS coefficients..*

#### 11. Time Trend and Residual Errors

*Continues OLS: Introduces the calculation and analysis of residual errors and discusses the violations of assumptions.*

#### 12. Introduction to ANOVA for Regression

*Introduces the analysis of variance and the F-ratio.*

#### 13. Prediction and Confidence Intervals

*Examines the characteristics of the confidence interval about the prediction.*

#### 14. Runs Analysis for Residual Errors

*Describes testing for correlated errors using a common non-parametric test.*

#### 15. Chi-Square

*Introduces and describes a test performed on sample data to see if the sample is from a normally distributed population.*

#### 16. Project 1: Minitab Tutorial

*Demonstrates the creation of a dummy variable matrix.*

#### 17. Multiple Regression

*Regression technique for more than one independent variable.*

#### 18. Dummy Variables

*Provides an explanation of dummy variables and their usage in regression models.*

#### 19. Creating Your Dummy Variable

*Demonstrates the creation of a dummy variable matrix.*

#### 20. Project 2 Demonstration: Minitab Tutorial

*Demonstrates the creation of a dummy variable matrix.*

#### 21. ANOVA for Surveys

*Introduces the analysis of variance applied to survey data.*

#### 21. Sign Test

*Non-parametric test 1 of 5.*

#### 22. Signed Rank Test

*Non-parametric test 2 of 5.*

#### 23. Rank Correlation Test

*Non-parametric test 3 of 5.*

#### 24. Mann-Whitney Test

*Non-parametric test 4 of 5.*

#### 25. Kruscal Wallis Test

*Non-parametric test 5 of 5.*

#### 26. Duty in Statistical Analysis

*Ethical responsibilities in Statistics.*

#### 27. Analyzing Survey Data #1: MinitabTutorial

*A Minitab tutorial demonstrating steps in analyzing survey data*, 1 of 4.

#### 28. Analyzing Survey Data #2: Minitab Tutorial

*A Minitab tutorial demonstrating steps in analyzing survey data*, 2of 4.

#### 29. Analyzing Survey Data #3: Minitab Tutorial

*A Minitab tutorial demonstrating steps in analyzing survey data*, 3 of 4.

#### 30. Analyzing Survey Data #4: Minitab Tutorial

*A Minitab tutorial demonstrating steps in analyzing survey data*, 1 of 4.

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