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Institution:
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University of Pennsylvania
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Subject:
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Description:
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Zhao. Prerequisite(s): MATH 114 or equivalent and an undergraduate introduction to probability and statistics. This is primarily a statistical methodology course. Regression based techniques dominate the course, including the simple linear model, multiple regression, ANOVA and ANCOVA, and related models for discrete choice data, including logistic regression. Regression techniques for Panel Data will also be presented. Real data sets will be used to demonstrate the methods and clarify the use of the techniques. At the end of the semester students are expected to be able to analyze a data set (quantitative or qualitative) wisely and conclude correctly. We will start the course with a very quick introductory review of basis statistical techniques needed such as the central limit theorem, confidence intervals and hypotheses tests. R and JMP will be used throughout the lectures.
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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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(215) 898-5000
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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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