BUAD 300 Presentations

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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