ECON 2331: Economic and Business Statistics 2
Students examine advanced statistical techniques and methods and their applications in business and economics. Topics include review of hypothesis tests; inferences about population variances; comparing multiple proportions for three or more populations and tests of independence; analysis of variance and experimental design; simple and multiple regressions; and time series analysis and forecasting. Students are required to apply statistical techniques using Excel and/or XLSTAT.
Learning outcomes
- Demonstrate how to test hypotheses, including nonparametric methods.
- Test for the equality of three or more population proportions.
- Conduct analysis of variance under various experimental designs
- Estimate simple and multiple regression models and interpret the results.
- Use time series analysis and forecasting models to make accurate forecasts.
- Apply statistical techniques to various fields such as marketing, supply chain management, finance, accounting, and economics using real-world data.
- Demonstrate the ability to use Excel and XLSTAT in estimating applied statistical procedures, methods, and models.
Course topics
- Module 1: Review of Hypothesis Testing and Statistical Inferences
- Module 2: Inference about Population Variances
- Module 3: Comparing Multiple Proportions for Three or More Populations and Test of Independence
- Module 4: Analysis of Variance and Experimental Designs
- Module 5: Simple and Multiple Regression
- Module 6: Time Series Analysis and Forecasting
Required text and materials
Students require the following e-textbook, which can be purchased directly from the TRU bookstore site at: https://thebookstore.tru.ca/site_digital.asp
- Camm, J. D., Cochran, J. J., Fry, M. J., Anderson, D. R., Sweeney, D. J. & Williams, T. A., (2024). Statistics for Business and Economics (15th ed.). Cengage Learning.
Type: E-Textbook. ISBN: 9780357715994 / 9780357715871
Note: XLSTAT is recommended (but optional), and students can purchase XLSTAT access from the TRU bookstore site as well.
Assessments
Please be aware that should your course have a final exam, you are responsible for the fee to the online proctoring service, ProctorU, or to the in-person approved Testing Centre. Please contact exams@tru.ca with any questions about this.
To successfully complete this course, students must obtain at least 50% on the mandatory final exam and 50% overall.
|
Assignment 1: Review of Hypothesis Testing and Statistical Inferences |
5% |
| Assignment 2: Inference about Population Variances | 5% |
| Assignment 3: Comparing Multiple Proportions for Three or More Populations and Test of Independence/Analysis of Variance and Experimental Designs | 5% |
| Assignment 4: Simple and Multiple Regression | 5% |
| Assignment 5: Time Series Analysis and Forecasting | 15% |
| Quiz 1 | 5% |
| Quiz 2 | 5% |
| Quiz 3 | 5% |
| Mandatory Final Exam | 50% |
| Total | 100% |
Open Learning Faculty Member Information
An Open Learning Faculty Member is available to assist students. Students will receive the necessary contact information at the start of the course.
