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Institution:
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Princeton University
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Subject:
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Description:
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Data analysis techniques, stressing application to public policy. The course includes measurement, descriptive statistics, data collection, probability, exploratory data analysis, hypothesis testing, simple and multiple regression, correlation, and graphical procedures. Some training is offered in the use of computers. No previous training in statistics is required. The course is divided into separate sections according to the student's level of mathematical sophistication. The advanced level assumes a fluency in calculus.
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Credits:
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0.00 - 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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(609) 258-3000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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