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STAT 252 Introductory Applied Probability Units: 3.00
Basics of probability. Counting principle, binomial expansion. Conditional probability and Bayes' Theorem. Random variables, mean and variance. Bernoulli, binomial, geometric, hypergeometric and exponential distributions. Poisson approximation. Distribution, frequency and density functions. Normal distribution and central limit theorem.
NOTE STAT 252 is a new course for STAT Minors and Joint Honours.
NOTE STAT 252 is a new course for STAT Minors and Joint Honours.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite MATH 120/6.0 or MATH 121/6.0 or MATH 126/6.0 or MATH 124/3.0.
Exclusion STAT 268/3.0; STAT 351/3.0.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Have experience working with Bernoulli and binomial distributions, negative binomial and geometric distributions, hypergeometric distribution, Poisson distribution, the normal distribution, the central limit theorem.
- Have experience working with discrete random variable, continuous random variables, expectation, moments, Chebyshev's theorem, moment-generating-functions.
- Have experience working with sample spaces, events, probability of an event; review of set notation, counting rules and combinatorial methods, rules of probability conditional probability; independent events, Bayes' theorem.
- Understand the fundamental concepts in probability with an emphasis on inquiry-based problem solving.