This course explores the mathematical theory of probability and statistics and is intended for students in Science, Engineering, Computer Science and Business degree programs. Students are introduced to the concepts of descriptive statistics, laws of probability, probability distributions for discrete, continuous and jointly distributed random variables, laws of expectation, estimation, hypothesis testing, correlation and regression.
Prerequisites
MATH 1200 with a C- or equivalent.
Course type
This course is offered as part of a VCC program and cannot be taken individually.
International students: Eligibility is determined at the program level. Visit the program page for international student requirements and application information.
- Descriptive statistics
- Laws of probability
- Discrete distributions: Variables, expectations, Binomial and Poisson's distributions
- Continuous distributions: Normal, gamma and exponential distributions
- Normal approximation to Binomial distribution and jointly distributed random variables
- Sampling distributions and the Central Limit Theorem
- Estimation and hypothesis testing for one-sample, two-sample and matched pairs data
- Chi-square test for association
- Correlation and regression
Course schedules
Select your program to see the available course schedules.
How to take this course
This course is offered as part of a VCC program only.
Contact us
If you have any questions, please email at [email protected].
† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.