STAT 202
Introduction to Statistical Modeling
Spring 2013
Division III
Quantitative/Formal Reasoning
This is not the current course catalog
Class Details
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.
The Class:
Format: lecture
Limit: 35
Expected: 20
Class#: 3241
Grading: yes pass/fail option, yes fifth course option
Limit: 35
Expected: 20
Class#: 3241
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation:
evaluation will be based on homework, exams and projects
Prerequisites:
Statistics 201 or permission of the instructor
Unit 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
Distributions:
Division III
Quantitative/Formal Reasoning
Class Grid
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HEADERS
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CLASSESColumn header 2DREQColumn header 3INSTRUCTORSColumn header 4TIMESColumn header 5CLASS#
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STAT 202 - 01 (S) LEC Intro to Statistical Modeling
STAT 202 - 01 (S) LEC Intro to Statistical ModelingDivision III Quantitative/Formal ReasoningMWF 9:00 am - 9:50 am
Griffin 63241
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