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What you'll be able to do (official learning outcomes)
explain further permutation and combination
define probability laws, conditional probability, and independence
describe Bayes’ theorem and explain some of the basic probability distribution for discrete and continuous random variables
compute expectations and moments of random variables
explain Chebyshev’s inequality and apply it to real life situations
explain joint marginal and conditional distributions and moments as well as Limiting distributions
Course contents
Further permutation and combination. probability laws. conditional probability, independence. Bayes’ theorem. probability distribution of discrete and continuous random variables: binomial, Poisson, geometric, hypergeometric, rectangular (uniform), negative exponential, binomial. Expectations and moments of random variables.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study STA 211.