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What you'll be able to do (official learning outcomes)
define discrete sample spaces and provide rules of probability
explain independence Bayes’ theorem and Um models
determine sampling with and without replacement
explain inclusion-exclusion theorem
explain allocation and matching problems
explain probability generating function; and
Course contents
Discrete sample spaces. definitions and rules of probability. Independence Bayes’ theorem. Um models; sampling with and without replacement. inclusion-exclusion theorem.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study STA 311.