Probability and Statistics for Science and Engineering (MATH 2700)
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.
Course code: MATH 2700
Credits: 3.0
Length: 60.0 hours
Course outline:
view
https://www.vcc.ca/vccphp/courseoutline?subject=MATH&number=2700
Prerequisites
MATH 1200 with a C- or equivalent.
| CRN # | Dates | Day/Time/Location |
|---|---|---|
| 61334 | May 5, 2025 to August 22, 2025 | See full schedule Delivery: Blended Location: Varies |
Additional 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
† 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.