MATH 240 - Computational Statistics

Provides a comprehensive introduction to the field of statistics and probability and the understanding of scientific programming and simulation. Students learn to clean, summarize, and analyze data in R, focusing on interpretation and extracting information. Aims to expose students to the theory of probability and statistics through computational exercises and topics that provide insight into the essential theories of probability, random variables, expectations, and statistical inference. The required lab portion of the course enables students to implement these ideas in R by exploring real data from several disciplines.

Credits: 1.0
Corequisite:

MATH 240L

Prerequisites: None
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts CORE: None

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