Semester. 2017-2018 Spring

Instructor. Alexander Kushpel

Room.  Faculty of Art and Sciences R-207
Phone. +903122331434

Schedule. Monday 12:20-14:10 (RB01) Tuesday 09:20-11:10 (RB01)

Office Hours. Tuesday 14:20-15:10 Wednesday 12:20-13:10

Catalog Description.  Statistical inference. Sampling procedures. Measures of location. Measures of variability. Statistical modeling. Graphical methods. Data description. Sample spaces. Events. Algebra of events. Probability of events. Conditional probability. Bayes’ rule. Random variables. Joint random variables. Mathematical expectation. Variance. Covariance. Discrete random variables: binomial, hypergeometric, negative binomial, geometric and Poison distribution. Continuous random variables: normal, gamma and exponential distribution. Random sampling, sampling distributions. Central limit theorem. t-distribution. F-distribution.
Textbook. R. E. Walpole, R. H. Myers, S. L. Myers, K. Ye, Probability and Statistics for Engineers and Scientists, Pearson Prentice Hall, 2007.

Reference Book. S. Ross, Introduction to Probability and Statistics for Scientists and Engineers, Academic Press, 2009.

Evaluation Criteria. Two midterm examinations (30% each), one final examination (40%).

Midterm 1, March 27 Tuesday, at 11:20, in R207

Midterm 2, April 25 Wednesday, at 09:20, in RB01

Final, May 21 Monday, at 09:20, in RB01