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STAT 268 Statistics and Probability I Units: 3.00
Basic ideas of probability theory such as random experiments, probabilities, random variables, expected values, independent events, joint distributions, conditional expectations, moment generating functions. Main results of probability theory including Chebyshev's inequality, law of large numbers, central limit theorem. Introduction to statistical computing.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite (MATH 120 or MATH 121 or MATH 122 or MATH 124).
Corequisite (MATH 221 or MATH 280).
Exclusion STAT 252; STAT 351.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Calculate expected values.
- Calculate probabilities of interest.
- Understand and apply basic concepts of probability.
- Understand and apply concepts of joint, marginal and conditional distributions.
- Understand concepts of random variables and probability distributions.