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Indiana State University · 3.000 credits · UGRD

Interpretations and axioms of probability, sample spaces, permutations and combinations, probability laws, univariate and bivariate random variables (discrete and continuous), essential distributions (normal, binomial, etc.), Poisson processes, moment-generating functions, and the central limit theorem. Prerequisites: A grade of C or better in MATH 231 and MATH 320. Note: Open to graduate students. Graduate students are required to do additional work of a research nature.
Fall 2026 · 1 section
Aug 18 – Dec 11
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 301Class #51784 | Time not published | Web Site WEB | Andrew Newman |
| 301 notes: Instructional method: Online | |||