M 517 - Applied Engineering Statistics

Institution:

University of Hartford

Subject:

Description:

Data collection, display, and interpretation. Discrete probability. Special discrete and continuous distributions. Sampling distributions and the Central Limit Theorem. Point and interval estimation, including confidence, prediction, and tolerance intervals. Parametric and nonparametric methods of hypothesis testing. Analysis of variance and the design of experiments, including blocking, factorial designs, and so forth. Simple and multivariate regression analysis, correlation, residual plots, diagnostics and outlier detection. Introduction to statistical process control (if time permits). Prerequisite: Undergraduate calculus.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.hartford.edu

Phone Number:

(860) 768-4100

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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