# STAT 202 Introduction to Statistical Modeling Spring 2023 (also offered Fall 2022) 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, 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
Limit: 40
Expected: 25
Class#: 3473
Grading: yes pass/fail option, no fifth course option
Requirements/Evaluation: Homework problems; quizzes; exams; a final project (on a topic that interests you!). Participation matters! Engagement with your peers is an important part of learning, of being a statistician in the Real World...and of your evaluation in this course. While your assignments will be submitted (and graded) individually, you'll be responsible for giving and receiving peer feedback, contributing to class discussions, and working together with classmates on practice problems.
Prerequisites: MATH 140 and STAT 101/161/201/AP Statistics 4/5, 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. Students with STAT 201 are strongly encouraged to take STAT 346 or other 300-level statistics electives.
Distributions: Division III Quantitative/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: PHLH Statistics Courses

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