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MATH 231
Fall 2006
Section: 01  

After a brief introduction to the reasons for studying probability and statistics, the course treats the fundamentals of probability theory: sample spaces, events and their probabilities, conditional probability and independence, discrete and continuous random variables, simulation, expectation and variance, functions of random variables, joint distributions, and covariance and correlation. It finishes with discussions of the two most important theorems of the subject, the law of large numbers and the central limit theorem. This is the first course in a two semester sequence, the second course being devoted to statistics.

Essential Capabilities: Quantitative Reasoning
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: MATH122
Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(MB&B)(NS&B)
Past Enrollment Probability: Not Available

Last Updated on JUN-18-2024
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