MATH 228L · also STA 240L
Probability for Statistical Inference, Modeling, and Data Analysis
Anya Katsevich
Description from DukeHub
Probability models, random variables with discrete and continuous distributions. Marginal, joint, and conditional distributions. Expectations, functions of random variables, central limit theorem. Estimators and sampling distributions, method of moments, and maximum likelihood estimation. Prerequisite: MATH 22, 112L, 122, 122L, 202D, 212, 219, 222, or graduate-student standing. Not open to students who have taken STA/MATH 230, STA/MATH 230S, or STA 231/MATH 340, or MATH 231.
Skills
- data and statisticstitle: "probability"
- lab workhas a lab component
AI-resilient: 1 of 5
- Yes: Physical, lab or field work · "laboratory"
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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