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# STAT 202 Introduction to Statistical Modeling Fall 2020 (also offered Spring 2021) Division III Quantative/Formal Reasoning

## Class Details

Data come from a variety of sources: sometimes from planned experiments or designed surveys, sometimes by 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 to answer questions about the world — and about its limitations. We’ll emphasize applications over theory and analyze real data sets throughout the course.
The Class: Format: lecture; Introductory lectures will be available asynchronously as text and video; synchronous sessions will discuss questions from lecture, dive further into the material, and work on examples. You'll use chat and discussion boards to build community, study with classmates, and ask questions outside of class time. The professor and TAs will also offer optional synchronous office hours/review sessions.
Limit: 25
Expected: 25
Class#: 2657
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: students with a 4 on the AP Stats exam should contact the department for proper placement
Prerequisites: AP Statistics 4 or 5, or STAT 101, or STAT 161, or STAT 201, or permission of instructor
Enrollment Preferences: Prospective Statistics majors and more senior students
Unit Notes: students with a 4 on the AP Stats exam should contact the department for proper placement
Distributions: Division III Quantative/Formal Reasoning
QFR Notes: This course uses mathematical tools and computing programs to create models, make predictions, assess uncertainty, and describe data. We'll also emphasize choosing appropriate mathematical tools and interpreting their results in a real-world context.
Attributes: EVST Methods Courses
PHLH Statistics Courses

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