MAT 271E - Probability and Statistics

Course Objectives

Inform and teach engineering students the main probability and statistical methods with techniques for gaining interpretation of their interesting area data.

Course Description

Product rule, permutation, combination, concept of Probability (Kolmogorov axioms),conditional probability and independency, random variables, Probability density function,distribution function, discrete disributions: Bernoulli, Binomial, Poisson, continuousdistributions: Normal, Gamma, Exponential, Expectation, Moment generating function, mean,variance, standart deviation, covariance, correlation, Chebchev’s inequality, Estimator and itsproperties, maximum likelihood estimators, Confidence intervals, Hypothesis testing, One andtwo sample test for means, Regression.