IOE 265
Probability and Statistics for Engineers
Graphical representation of data; Axioms of Probability; Conditioning, Bayes Theorem; Discrete Distributions (Geometric, Binomial, Poisson); Continuous Distributions (Normal, Exponential, Weibull); Covariance and Correlation; Point and Interval Estimation, Likelihood Functions, Test of Hypotheses for Means, Variances, and Proportions for One and Two Populations.
Prerequisites & course information
[(MATH 116 or 121 or 156 or 176 or 186 or 296 or ROB 201) and (ENGR 101 or 101X or 151 or EECS 183 or 180 or ROB 102)]; C- or better, no OPF) & (no credit in STATS 250 or SOC 210). (Prerequisites enforced at registration.) (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Probability and Statistics for Engineers · 3 · College of Engineering catalogue