STAT/MATH 414, Sections 003 and 005

    Introduction to Probability


This course introduces students to the fundamentals and axioms of probability. Topics covered
include: combinatorial probability, conditional probability and independence, probability laws,
random variables, expectation, Chebyshev's inequality, Laws of Large Numbers, and the Central
Limit Theorem. Applications to a variety of fields will be explored.
Throughout the course, we will monitor the New York Times and Centre Daily Times newspapers
for articles involving applications of probability. We will study the probabilistic information in
these articles and relate them to the course and to our everyday life and experiences.

Contact Information

  • Donald Richards, Instructor
    • Section 003: MWF 12:20 - 1:10 a.m., Mueller Lab 008
    • Section 005: MWF 3:35 - 4:25 p.m., Willard Bldg. 267
    • Office Hours: MW 4:45 - 5:45 p.m., or by appointment
    • Office: 311 Thomas Building
    • E-mail:

  • Nicholas Sterge, Teaching Assistant
    • Office Hours: By appointment
    • Office: 422 Thomas Building
    • E-mail: nzs5368

  • Tianhong Sheng, Teaching Assistant
    • Office Hours: By appointment
    • Office: 333 Thomas Building
    • E-mail: txs514

Course Information



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