STAT 362
Design of Experiments Fall 2017 Division III; Quantative/Formal Reasoning;
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How do you get informative research results? By doing the right experiment in the first place. We’ll look at the techniques used to plan experiments that are both efficient and statistically sound, the analysis of the resulting data, and the conclusions we can draw from that analysis. Using a framework of optimal design, we’ll examine the theory both of classical designs and of alternatives when those designs aren’t appropriate. On the applied side, we’ll make extensive use of R to work with real-world data.
The Class: Type: lecture
Limit: 30
Expected: 20
Class#: 1742
Requirements/Evaluation: based primarily on projects, homework, and exams
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: STAT 346
Enrollment Preference: seniors/juniors and Statistics majors
Distributions: Division III; Quantative/Formal Reasoning;

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