Design of Experiments

A thorough and practical course in design and analysis of experiments for experimental workers and applied statisticians. SAS statistical software is used for analysis. Taken by graduate students from many fields.

STAT51400

Credit Hours:

Learning Objective:

A basic and broad understanding of experimental design.

Description:

Topics Covered:

Design fundamentals; completely randomized design, randomized complete blocks; latin square; factorial; nested factorial; incomplete block and fractional replications for 2n; 3n; 2m 3n, confounding; general mixed factorials; split plot; analysis of variance in regression models; optimum design.

Prerequisites:

Purdue STAT 512 Applied Regression Analysis or equivalent; previous knowledge of SAS not required but helpful.

Applied / Theory:

70 / 30

Web Address:

http://www.stat.purdue.edu/~bacraig/stat514.html

Web Content:

Notes, schedule, course information, handouts, homework, data sets, grades, SAS files, textbook errata.

Homework:

Will post to blackboard for online submission

Projects:

One ongoing group project

Exams:

2 midterm exams and 1 final

Textbooks:

Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.
Tentative: Design and Analysis of Experiments by Douglas Montgomery, 8th edition (ISBN: 978-1-1181-4692-7).

Computer Requirements:

ProEd minimum computer requirements. Knowledge of a statistical software (e.g., SAS, JMP, R, MATLAB) that includes a linear mixed model procedure is not required but very helpful.

Other Requirements:

Access to SAS software is important. The recommended form for accessing SAS is through Purdue's remote computing options. However, with the return of a filled-out license agreement from the class website, a temporary version of SAS can be shipped to you.

ProEd Minimum Requirements:

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