STAT 238 - aG ,Probability and Statistics

Institution:

Yale University

Subject:

Description:

Staff. mwf 2.30-3.20 QR (37) Fundamental principles and techniques of probabilistic thinking, statistical modeling, and data analysis. Essentials of probability, including conditional probability, random variables, distributions, law of large numbers, central limit theorem, and Markov chains. Statistical inference with emphasis on the Bayesian approach. Introduction to regression and linear models. Computers are used for calculations, simulations, and analysis of data. After math 118a or b or 120a or b. Some acquaintance with matrix algebra and computing assumed.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.yale.edu

Phone Number:

(203) 432-4771

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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