Statistics (STAT) Courses>Introduction to Probability and Statistics I

STAT260 - Introduction to Probability and Statistics I

Description

Descriptive statistics; elementary probability theory; random variables, discrete and continuous probability distributions, expectation, joint, marginal and conditional distributions; linear functions of random variables; random sampling and sampling distributions; point and interval estimation; classical hypothesis testing and significance testing. The mathematical foundations of statistical inference are introduced and illustrated with examples from a variety of disciplines.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Note(s)

Pre- or corequisites

  • Completed or concurrently enrolled in 1 of:
    • MATH101 - Calculus II (1.5)
    • MATH208 - Mathematics for Economics and Econometrics (1.5)

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Use the buttons below to search the timetable. If the search results show 0 classes and the message ‘Please search again’, then the class is not scheduled for the selected term.