15 074J - Statistical Reasoning and Data Modeling

Institution:

Massachusetts Institute of Technology

Subject:

Description:

Designed for students who have some acquaintance with probability and/or statistics and want exposure to a wider range of topics and examples. Begins with a brief review of statistics and regression by addressing advanced topics, such as variable selection, data and regression diagnostics, visualization, and Bayesian and robust methods. The remainder starts with data-mining, including stratified sampling, classification, logistic regression, and clustering. These topics are followed by time series analysis and forecasting, design of experiments and analysis of variance, and process control. Students use statistical computing systems, including Excel add-ins and stand-alone packages. Includes case studies involving finance, management science, consulting, and engineering systems.

Credits:

4.00

Credit Hours:

Prerequisites:

Prereq: 6.431, 15.060, or permission of instructor

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

web.mit.edu/student/

Phone Number:

(617) 253-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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