Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 2655 [0.5 credit]
Introduction to Probability with Applications (Honours)
Axioms of probability, basic combinatorial analysis, conditional probability and independence, discrete and continuous random variables, joint and conditional distributions, expectation, central limit theorem, sampling distributions, simulation and applications to descriptive statistics. A statistical software package will be used.
Precludes additional credit for
STAT 2605 and
MATH 2600.
Prerequisites:
MATH 1002 (or
MATH 2007) with a grade of C+ or better, and
MATH 1102 (or
MATH 2107) with a grade of C+ or better.
Lectures three hours a week, tutorial one hour a week.