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Institution:
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University of New Hampshire at Manchester
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Subject:
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Description:
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Course in design of experiments with applications to quality improvement in industrial manufacturing, engineering research and development, or research in physical and biological sciences. Experimental factor identifi cation, statistical analysis and modeling of experimental results, randomization and blocking, full factorial designs, random and mixed eff ects models, replication and subsampling strategies, fractional factorial designs, response surface methods, mixture designs, and screening designs. Focuses on various treatment structures for designed experimentation and the associated statistical analyses. Use of statistical software. Prereq: MATH 539 (or 644); or permission. 4 cr.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(603) 641-4321
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Semester
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