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STAT321

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Introduction to Probability

Mathematics and Statistics SC - Faculty of Science

Subject

STAT - Statistics

Description

A calculus-based introduction to probability theory and applications. Elements of probabilistic modelling, Basic probability computation techniques, Discrete and continuous random variables and distributions, Functions of random variables, Expectation and variance, Multivariate random variables, Conditional distributions, Covariance, Conditional expectation, Central Limit Theorem, Applications to real-world modelling.

Prerequisite(s): Mathematics 267 or 277.

Antirequisite(s): Credit for Statistics 321 and Engineering 319 will not be allowed.

Notes: Statistics 205, 213, 217, and 327 are not available to students who have previous credit for one of Statistics 321, Engineering 319 or Digital Engineering 319 or are concurrently enrolled in Statistics 321, Engineering 319 or Digital Engineering 319.

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-1T)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Component

TUT

Units

3

Repeat for Credit

No

Subject code

STAT

Understanding Course Information

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