STAT 202 Spring 2015 Introduction to Statistical Modeling (Q)

Data come from a variety of sources sometimes from planned experiments or designed surveys, but also arise by much less organized means. In this course we'll explore the kinds of models and predictions that we can make from both kinds of data as well as design aspects of collecting data. We'll focus on model building, especially multiple regression, and talk about its potential as well as its limits to answer questions about the world. We'll emphasize applications over theory and analyze real data sets throughout the course.
Class Format: lecture
Requirements/Evaluation: evaluation will be based on homework, exams and projects
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Prerequisites: STAT 201 or permission of the instructor
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Department Notes: Students wanting to take this course on a pass/fail basis will only be allowed to do so with the permission of the instructor
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Distribution Notes:
Divisional Attributes: Division III, Quantitative and Formal Reasoning
Other Attributes: PHLH Statistics Courses
Enrollment Limit: 35
Expected Enrollment: 20
Class Number: 3445
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT 202 - 01 (S) LEC Intro to Statistical Modeling (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Brianna C. Heggeseth
TR 08:30 AM-09:45 AM 3445
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