Introduction to the Probability and Statistics (Spring 2016)Prof. Junni Zhang

Prerequisite： Calculus, Linear Algebra

Course Overview
This course will introduce basics of probability theory and mathematical statistics, including probability, conditional probability, random variable, expectation and variance, special probability distributions, sampling distribution, point estimation, confidence interval, hypothesis testing, linear regression, analysis of variance, etc.

Course Objectives
Students should understand basic concepts in probability theory and mathematical statistics, learn commonly used probability distributions, and be able to conduct basic statistical inferences.


Textbooks
Morris H. DeGroot and Mark Schervish (2001), Probability and Statistics, Addison Wesley, 3rd edition.
Probability and Statistics, Revised Edition by Xiangzhong Fang, Ligang Lu, Dongfeng Li, Higher Education Press, 2005.