Set operations, axioms of probability, Bayes' theorem, independent events, the random variable, probability density function, examples of discrete probability distributions (Binomial, Poisson, geometric, hyper-geometric, multinomial), examples of continuous probability distributions (Normal, uniform, Log-normal, Gamma, Beta, Weibell), multivariate probability density functions, normal approximation to the Binomial distribution, population and sampling, unbiased estimators, sampling distribution of the mean with known and unknown variance, point and interval estimation, elements of hypothesis testing, linear correlation linear regression, least squares, the random process, stationarity and ergodicity, Gaussian random processes.
Parent Business Unit ID:
Prerequisite:
MATH1321 | CALCULUS 2
