MAT 271 - Probability and Statistics

Course Objectives

Gain proficiency in basic probability and statistical methods, including descriptive statistics, probability distributions, hypothesis testing, and regression analysis.

Develop the skills to accurately interpret and analyze data, draw meaningful conclusions, and effectively communicate findings using appropriate statistical tools and techniques.

Course Description

Product rule, permutation, combination, concept of Probability, conditional probability and independency, random variables, Probability density function, distribution function, discrete distributions: Bernoulli, Binomial, Poisson, continuous distributions: Normal, Gamma, Exponential, Expectation, Moment generating function, mean,variance, standard 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.