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Institution:
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University of Kentucky
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Subject:
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Description:
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Introduction to statistical methodology appropriate for data that fail to meet the assumptions of parametric inference. Familiarity with classical sampling techniques as well as modern sampling practice. Emphasis on applications to real-world problems and case studies, possibly involving questionnaire construction, random digit dialing, response bias, use of modern sampling software, categorical regression, and skewed data. Prereq: STA 291 and STA 295; or STA 321.
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Credits:
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4.00
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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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(859) 257-9000
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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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