STAT 344
Statistical Design of Experiments Fall 2022
Division III Quantitative/Formal Reasoning
This is not the current course catalog

Class Details

When you hear the word experiment you might be picturing white lab coats and pipettes, but businesses, especially e-commerce, are constantly experimenting as well. How do you get the most out of both scientific and business investigations? By doing the right experiment in the first place. We’ll explore the techniques used to plan experiments that are both efficient and statistically sound. We’ll learn how to analyze the data that come from these experiments and the conclusions we can draw from that analysis. We’ll look at both classical tools like fractional factorial designs as well as optimal design, and see how these two frameworks differ in their philosophy and in what they can do. Throughout the course, we’ll make extensive use of both R and JMP software to work with real-world data.
The Class: Format: lecture
Limit: 20
Expected: 15
Class#: 1487
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Homework problems--both individual and in groups, midterm, final, and projects (on topics that interest you!).
Prerequisites: STAT 161 or 201 or 202, or equivalent, and Math 140 or equivalent, or permission of instructor
Enrollment Preferences: Statistics majors, seniors, juniors, sophomores, first years
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: This course uses mathematical tools and computing programs to design experiments, analyze their results, and assess their effectiveness. We'll also emphasize choosing appropriate mathematical tools and interpreting their results in a real-world context.

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