MATH 323: Probability
Mathematical introduction to probability theory. Topics include sample spaces, conditional probability, Bayes' theorem, discrete and continuous random variables, probability mass/density functions, cumulative distribution functions, expected value,…
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Common aliases: MATH 323
Study Resources for Probability
Final Exam 2010
Midterm (Exam 1) 2014
Midterm (Exam 2) 2012
Midterm (Exam 1) 2016
Midterm (Exam 1) 2019
Midterm (Exam 1) 2020
Study Guide 7
Assessment Inventory for MATH 323 (7 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2020 | Midterm | 2020 | Illustrative Archive |
| Midterm (Exam 1) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2016 | Midterm | 2016 | Illustrative Archive |
| Midterm (Exam 1) 2014 | Midterm | 2014 | Illustrative Archive |
| Midterm (Exam 2) 2012 | Midterm | 2012 | Illustrative Archive |
| Final Exam 2010 | Final | 2010 | Illustrative Archive |
| Study Guide 7 | Study Guide | — | Illustrative Archive |
Complete inventory of all 7 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
Course Description
Mathematical introduction to probability theory. Topics include sample spaces, conditional probability, Bayes' theorem, discrete and continuous random variables, probability mass/density functions, cumulative distribution functions, expected value, variance, moment-generating functions, joint distributions, and the Central Limit Theorem.
This archive catalogs 7 free educational resources and past exams for MATH 323 (Probability) at McGill University, containing 5 midterm papers, 1 final examination, and 1 study guide. Dated documents represent 6 distinct academic years between 2010 and 2020.
Core Exam Topics & Learning Objectives
- Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in MATH 323
- Probability distributions: discrete (Binomial, Poisson, Geometric) and continuous (Normal, Uniform, Exponential) models
- Inferential statistics: Central Limit Theorem, confidence interval estimation, and hypothesis testing (t-tests, ANOVA, Chi-Square)
- Regression analysis: simple/multiple linear regression, correlation coefficients, R-squared, and residual diagnostics in Probability
Frequently Asked Questions
Which assessment formats are cataloged in this MATH 323 archive?
This collection for MATH 323 at McGill University catalogs 7 total resources across the following formats: Midterms, Finals, Study Guides. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this MATH 323 collection?
Dated materials in this archive span from 2010 to 2020, representing 6 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free MATH 323 past exams?
All cataloged MATH 323 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the McGill University course syllabus.