Descriptive and inferential statistics applied to medical and radiation technology contexts.
About this course
MATH 2740 Statistics for Health Care introduces the statistical methods used in health sciences. You will learn how to collect, analyse, and interpret data from medical and radiation technology contexts. The course covers both descriptive statistics, which summarise data, and inferential statistics, which allow you to draw conclusions from samples.
You will practice using statistical software to analyse real-world health data sets. Topics include probability distributions, hypothesis testing, confidence intervals, and regression analysis. These skills are essential for understanding clinical research, patient outcomes, and diagnostic accuracy.
Who takes this course
This course is required for students in the following programs:
- Interior Design Technology
- Medical Radiation Technology
- Occupational Therapist & Physiotherapist Assistant
- Practical Nursing (Part-time)
- Practical Nursing
- Power Engineering Technician
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Calculate measures of central tendency and dispersion for clinical data sets.
- Construct and interpret confidence intervals for patient outcome metrics.
- Perform hypothesis tests to evaluate the effectiveness of treatment protocols.
- Apply regression analysis to identify risk factors in patient populations.
- Use statistical software to analyse laboratory and diagnostic results.
- Communicate statistical findings clearly in clinical or research reports.
Evaluation
| Component | Weight (%) |
| Mid-term examination | 30 |
| Statistical analysis project | 25 |
| Final examination | 45 |