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Course Listings » Fall 2016 » STAT 321 - Introduction to Probability - Fall 2016

STAT 321 - Introduction to Probability - Fall 2016

A calculus based introduction to probability theory and applications. Elements of probabilistic modeling, 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 modeling.
This course may not be repeated for credit.

Hours

  • H(3-1T)

Notes

  • Statistics 205 is strongly recommended as preparation for this course for Statistics majors. Also known as: (formerly Mathematics 321)

Prerequisite(s)

  • Mathematics 267 or 277 or 253 or 283 or Applied Mathematics 219.
Syllabus

Sections

  • LEC 1MWF 10:00 - 10:50
    		Nancy ChibryOutline
    LEC 2TR 14:00 - 15:15
    		Scott Robison
    TUT 1T 10:00 - 10:50
    TUT 2T 10:00 - 10:50
    TUT 3T 11:00 - 11:50
    TUT 4T 11:00 - 11:50
    TUT 5R 11:00 - 11:50
    TUT 6R 11:00 - 11:50
This course will be offered next in Spring 2017.
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