ENGR 371 Study Guide - Fall 2018, Comprehensive Midterm Notes - William O. Douglas, Wiley-Blackwell, Variance
12 Oct 2018
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Document Summary
This is an introductory course in probability and statistics. It aims at teaching engineering students the fundamentals of the probability and statistics theory with applications to various engineering disciplines. Many examples related to real life engineering (probabilistic) problems will be addressed. Office hours: thursday 1-2pm or email for appt. Course coordinator: dr. walaa hamouda, section ff (walaa. hamouda@concordia. ca) Tutorials: three sections all friday 10:15am-11:05am (mb 6. 425, h619, h429) Tutorial sessions will commence on week # 2 of the term. Douglas c. montgomery and george c. runger, applied statistics and probability for engineers, Any text on probability and/or statistics can serve as a reference. There is a large number of them available at the concordia university library. Multiplication rule, total probability rule, independence of events, bayes theorem, random variables. Discrete random variables, pmfs, cdfs, mean and variance for discrete random variables, discrete uniform distribution, binomial distribution.
