IEOR E4150
INTRO-PROBABILITY ＆ STATISTICS
Lect: 3. Covers the following topics: fundamentals of probability theory and statistical inference used in engineering and applied science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference: pint and confidence interval estimation, hypothesis tests, linear regression. For IEOR graduate students
Topics
- fundamentals of probability theory and statistical inference used in engineering and applied science
- Probabilistic models
- random variables
- useful distributions
- expectations
- law of large numbers
- central limit theorem
- Statistical inference: pint and confidence interval estimation
- hypothesis tests
- linear regression
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisites: Calculus, including multiple integration.
Sources
- Course catalogue ↗2026-2027