MAT 271 - Probability and Statistics

Course Objectives

Inform and teach to 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, continuous
distributions: Normal, Gamma, Exponential, Expectation, Moment generating function, mean,
variance, standart deviation, covariance, correlation, Chebchev’s inequality, Estimator and its
properties, maximum likelihood estimators, Confidence intervals, Hypothesis testing, One and
two sample test for means, Regression.