STAT 360 - Statistical Inference

Institution:

Williams College

Subject:

Statistics

Description:

This course will introduce students to advanced mathematical concepts and techniques for a deeper understanding of statistical inference. Many topics from STAT 201 such as random variables, the central limit theorem or how to test and estimate unknown parameters will be revisited and put on a more rigorous footing. In addition, emphasis will be placed on simulation and resampling (e.g., permutation and bootstrap) approaches to statistical inference and implemented with the statistical software R.

Credits:

3.00

Credit Hours:

Prerequisites:

Mathematics 105, Mathematics 211, and Statistics 201

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.williams.edu

Phone Number:

(413) 597-3131

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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