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Institution:
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George Mason University
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Subject:
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Description:
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Credits: 3 Principles of analysis of variance and experimental design. Topics include computation and interpretation of analysis of variance; multiple comparisons; orthogonal contrasts; and design of experiments, including factorial, hierarchical, and split plot designs. Optional topics may include analysis of covariance; partial hierarchical designs; incomplete block designs; principles of blocking and confounding in 2**n experiments; or estimation of variance components. Computer statistical packages are used to perform computations. Prerequisites STAT 350 or 354, and STAT 362 or 501. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered IR
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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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(703) 993-1000
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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