EEC 338 Probability and Statistics Tutorial 2026

About this paper

EEC 338: A tutorial sheet for EEC338 Probability and Statistics from the Department of Electrical and Electronic Engineering, University of Buea College of Technology (Instructors: Nana C., Mbapte R.). The original document contains a large number of problems across four sections: I. Combinatorial Analysis, II. Probabilities, III. Random Variables, and IV. Joint Probability Distribution. A representative selection of 14 problems spanning all four sections was fully transcribed and solved, covering combinatorics identities and counting (license plates, job assignments, band arrangements, letter permutations), classical and conditional probability (urn draws, sequential inspection, Bayes' theorem for defect/disease-testing problems), discrete and continuous random variables (order statistics, pmf/cdf/expectation/variance, a density f(x)=1/x, and normal-distribution probability calculations), and joint distributions (a binomial-given-random-N family composition problem and an independence proof for a joint exponential density). The remaining problems in each section were omitted for scope, with the specific omissions documented transparently in the paper itself.