### 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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