Introduction to probability theory. Random variables, expectation, variance and moment generating functions. Distributions: Bernoulli, binomial, uniform, Gaussian, exponential, Poisson, gamma. Introduction to statistical concepts. Sampling and sample statistics. Point and interval estimation. Hypothesis testing. Regression. Numerical and computational aspects of random variable generation, sampling, and estimation.
R. E. Walpole, R. H. Myers, S. L. Myers, K. Ye (2006) Probability and Statistics for Engineers and Scientists, 8th Edition, Prentice-Hall (Pearson). (Available at BU Bookstore).
Prof. Ethem ALPAYDIN, alpaydin AT boun.edu.tr
Mehmet Gonen.
See the Course Web Page for homeworks, grades, etc.
Math 101.
· Introduction
· Probability
· Random Variables and Probability Distributions
· Mathematical Expectation
· Discrete and Continuous Probability Distributions
· Sampling
· Sample Estimation
· Hypothesis Testing
· Regression
3.