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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 Analyzes cross-classified categorical data in two and higher dimensions. Familiarity with the basic test for two-way contingency tables and elementary regression and analysis of variance as presented in STAT 554 is presumed. Topics include association tests and measures of association in two- and three-dimensional contingency tables, logistic regression, and log linear models. Computer statistical package used extensively for data analysis. Prerequisites STAT 554, STAT 656, and working knowledge of SAS. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered AS
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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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