STAT 139 - Statistical Sleuthing Through Linear Models

Institution:

Harvard University

Subject:

Description:

A serious introduction to statistical inference where linear models and related methods are used. Topics include the pros and cons of t-tools and their alternatives, multiple-group comparisons, linear regressions, model checking and refinement. Emphasis on statistical thinking and tools for real-life problems, application to current events whenever relevant.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.harvard.edu

Phone Number:

(617) 495-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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