STAT 344
Statistical Design of Experiments Fall 2018 Division III; Quantative/Formal Reasoning;

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What does statistics have to do with designing and carrying out experiments? The answer is, surprisingly perhaps, a great deal. In this course, we will study how to design experiments with the fewest number of observations possible that are still capable of understanding which factors influence the results. After reviewing basic statistical theory and two sample comparisons, we cover one and two-way ANOVA and (fractional) factorial designs extensively. The culmination of the course will be a project where each student designs, carries out, analyzes, and presents an experiment of interest to him or her. Throughout the course, we will use both the statistics program R and the package JMP to carry out the statistical analyses.
The Class: Type: lecture
Limit: 20
Expected: 15
Class#: 1789
Requirements/Evaluation: problem sets, midterm, final exam, project
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: STAT 201, 202, or equivalent
Enrollment Preference: Statistics majors, seniors
Distributions: Division III; Quantative/Formal Reasoning;
Attributes: COGS Related Courses;

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