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Probability and Statistics I (MATH-241)

A calculus-based course introducing elementary probability theory; discrete and continuous distributions and random variables; and sampling distributions. Data analysis via descriptive and inferential statistics. Includes point and interval estimation; regression and correlation; and hypothesis testing. Prerequisite: Grade C or higher in MATH 152 or permission of instructor. Fall.

Section: MATH-241-01C
Credits: 4
Faculty: Michael J Cullinane
Days: MWF
Time: 12:00PM‑1:10PM
Location: SCIC-129
Start/End Date: Aug. 25, 2014 - Dec. 12, 2014
Instructional Method: Lecture-based Learning