Introduction to Applied Statistical Analysis
Hours per week:
- Lecture/Discussion: 3
- Lab: 2
Numerical and graphical methods of descriptive statistics; basic probability; introduction to discrete and continuous random variables; sampling distributions; estimation and hypothesis testing for data from one and two normal populations. Applications to problems in science are emphasized and statistical software packages are used for data analysis.
Additional Course Information
- MA240, MA241, BU205, BU255, EC205, EC235, EC255, EC285, KP262; all Honours Business, Honours Economics and Honours Mathematics programs. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in MA141].