Introduction to Statistical Modeling
Division III; Quantative/Formal Reasoning;
Also offered Spring 2019
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: Type: lecture
Requirements/Evaluation: evaluation will be based on homework, exams and projects
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: AP Statistics 5 or STAT 101, 161 or 201 or permission of instructor
Department Notes: Students with a 4 on the AP Stats exam should contact the department for proper placement.
Distributions: Division III; Quantative/Formal Reasoning;
Attributes: EVST Methods Courses; PHLH Statistics Courses;
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- STAT 202 - 01 (F) LEC Intro to Statistical Modeling