Covers probability distributions and statistical inference methods for technical and applied programs.
Course overview
This course provides a comprehensive study of probability distributions and statistical inference designed for technical fields. You will move beyond basic calculations to analyse data sets, test hypotheses, and build predictive models using industry-standard methods. The curriculum emphasises practical application, ensuring you can use statistical tools to solve problems in engineering, health sciences, and business environments.
Topics include discrete and continuous probability distributions, central limit theorem, estimation techniques, analysis of variance, and linear regression. You will gain proficiency in statistical software packages commonly used in the workplace, allowing you to transform raw data into actionable insights for your future career.
Who takes this course
MATH 2790 is a required or elective course for students in the following programs:
- Bachelor of Applied Business — Accounting
- General Arts & Science
- Bachelor of Science in Nursing (collaborative)
- Fitness & Health Promotion
- Medical Radiation Technology
- Pharmacy Technician
- Bachelor of Applied Technology — Advanced Manufacturing
- Electrical Engineering Technology
- Electrical Engineering Technology (Part-time)
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Apply probability distributions to model real-world technical scenarios.
- Calculate confidence intervals and conduct hypothesis tests for sample data.
- Perform regression analysis to identify relationships between variables.
- Interpret statistical software output for technical decision-making.
Evaluation
| Component | Weight (%) |
| Midterm examination | 30 |
| Final examination | 40 |
| Statistical project and report | 20 |
| Weekly problem sets | 10 |