MAST 221
Applied Probability
Fall 2026
Topics
- Chapter 2: Probability
- Introduction
- Sample Spaces
- Events
- The Probability of an Event
- Some Rules of Probability
- Conditional Probability
- Independent Events
- Bayes’ Theorem
- Chapter 3: Probability Distributions and Probability Densities
- Random Variables
- Probability Distributions
- Continuous Random Variables
- Probability Density Functions
- Multivariate Distributions
- Marginal Distributions
- Conditional Distributions
- Chapter 4: Mathematical Expectation
- The Expected Value of a Random Variable
- Moments
- Chebyshev’s Theorem
- Moment Generating Functions
- Product Moments
- Moments of Linear Combinations of Random Variables
- Conditional Expectations and Conditional Variances
- Chapter 5: Special Probability Distributions
- The Discrete Uniform Distribution
- The Bernoulli Distribution
- The Binomial Distribution
- The Negative Binomial Distribution and Geometric Distribution
- The Hypergeometric Distribution
- The Poisson Distribution
- The Multinomial Distribution
- Chapter 6: Special Probability Densities
- The Uniform Distribution
- The Gamma, Exponential and Chi-square Distributions
- The Beta Distribution
- The Normal Distribution
- The Normal Approximation to the Binomial Distribution
- The Normal Approximation to the Poisson Distribution
Readings
- Listed textbook (requirement not stated): I. Miller and M. Miller. John E. Freund’s Mathematical Statistics with Applications, 8th edition. Pearson Education, 2014.
Fall 2025 · MAST 221
Readings
- John E. Freund’s Mathematical Statistics with Applications, 8th Edition, by I. Miller and M. Miller, Pearson Education, Inc. (2014).
Fall 2023 · MAST 221
Readings
- John E. Freund’s Mathematical Statistics with Applications, 8th Edition, by I. Miller and M. Miller, Pearson Education, Inc. (2014).
Fall 2022 · MAST 221
Readings
- John E. Freund’s Mathematical Statistics with Applications, 8th Edition, by I. Miller and M. Miller, Pearson Education, Inc. (2014).
Fall 2021 · MAST 221
Readings
- John E. Freund’s Mathematical Statistics with Applications, 8th Edition, by I. Miller and M. Miller, Pearson Education, Inc. (2014).
Sources
- Course catalogue ↗2026–2027
- Syllabus or course outline ↗Fall 2026
- Historical course outline ↗Fall 2025
- Historical course outline ↗Fall 2023
- Historical course outline ↗Fall 2022
- Historical course outline ↗Fall 2021
- Fall 2026 outline.
- Historical source. Generic Textbook/References headings remain requirement-unspecified. Bibliographic editions and years are retained as printed; source inconsistencies may remain. Automated extraction with conservative filtering; distinct bibliography strings screened for false positives; entire syllabus not manually reviewed.
- Historical source. Generic Textbook/References headings remain requirement-unspecified. Bibliographic editions and years are retained as printed; source inconsistencies may remain. Automated extraction with conservative filtering; distinct bibliography strings screened for false positives; entire syllabus not manually reviewed.
- Historical source. Generic Textbook/References headings remain requirement-unspecified. Bibliographic editions and years are retained as printed; source inconsistencies may remain. Automated extraction with conservative filtering; distinct bibliography strings screened for false positives; entire syllabus not manually reviewed.
- Historical source. Generic Textbook/References headings remain requirement-unspecified. Bibliographic editions and years are retained as printed; source inconsistencies may remain. Automated extraction with conservative filtering; distinct bibliography strings screened for false positives; entire syllabus not manually reviewed.