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Faculty of Science Mathematics & Statistics
Faculty of Science

# STATS 2D03, Fall 2018

INTRODUCTION TO PROBABILITY

Many events have uncertain outcomes. Making predictions under these circumstances are risky and, in many cases, costly.  A desire to improve the reliability of predictions led to the early development of probability.   Today the theory of probability has become a major branch of mathematics. It also found applications in many areas including biology, communication, ecology, economics, finance, medical research, physics, and sociology.  This course is an elementary introduction to the theory of probability for students  in mathematics, statistics, engineering, and general sciences.  By taking the course, students will get a good understanding of the basic framework and concepts of probability theory.   Concrete topics include but not limited to definition of probability, counting rules, random variable, mean and variance, distribution functions, independence and dependence, and Bayesian formula.

INSTRUCTORS:
C01  S. Feng
C02  R. Arabi Belaghi

Course Website

Calendar Description
3 Units
Combinatorics, independence, conditioning; Poisson-process; discrete and continuous distributions with statistical applications; expectation, transformations moment-generating functions joint, marginal and conditional distributions; covariance and correlation; central limit theorem.
Three lectures, one tutorial; one term
Prerequisite(s): One of ARTSSCI 1D06 A/B, MATH 1AA3, 1LT3, 1NN3, 1XX3, 1ZB3, 1ZZ5 or ISCI 1A24 A/B
Not open to students with credit or registration in PSYCH 2RA3.

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Department of Mathematics & Statistics
McMaster University

Hamilton Hall, Room 218
1280 Main Street West
L8S 4K1

### Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.27034

Department of Mathematics & Statistics
McMaster University

Hamilton Hall, Room 218
1280 Main Street West