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.


Course Coordinator
Ahmet Ergin
Course Language
Turkish


