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Wednesday, July 30, 2014
 

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6:30pm
  LISA Statistics Short Course: Factorial Experiments: Blocking, Confounding, and Fractional Factorial Designs  
(Academic)

LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.

Summer 2014 Schedule:
Wednesday, June 18: Basics of R;
Wednesday, June 25: Statistical Analysis in R;
Wednesday, July 2: Graphics in R;
Wednesday, July 9: T-tests, ANOVA, and Rank Based Tests;
Wednesday, July 16: SQL in R;
Wednesday, July 23: Parametric Versus Semi/Nonparametric Regression Models;
Wednesday, July 30: Fractorial Experiments: Blocking, Confounding, and Fractional Factorial Designs;


Wednesday, July 30;
Instructor: Emanuel Msemo;
Title: Factorial Experiments: Blocking, Confounding, and Fractional Factorial Designs;
Course Information:
Experimentation is a vital part of the scientific method. Most problems in science require observation of the system at work and experimentation to elucidate information about how the system works.

In many situation, experimenters are required to study the effects of two or more factors, in which in each complete trial or replicate of the experiment all possible combinations of the levels of the factors are investigated. The situation is often referred as crossed experiments or factorial experiments. However, this is sometimes limited by the available resources.

This short course will cover ways to handle situations when it is impossible to perform all of the runs of the factorial experiments under homogenous conditions. It will also cover the screening experiments in which many factors are considered and the objective is to identify those factors (if any) that have large effects. We will work with data set from an experiment carried in a pilot plant to study the factors thought to influence the filtration rate of a chemical product (Montgomery, 2013).

This short course is open to all, but the audience is assumed to be knowledgeable in ANOVA and basic principles of designing an experiment. However, regardless to these a quick introduction to design of experiments will be given.

Montgomery, D.C (2013). Design and analysis of experiments. Wiley, New York.

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More information...


Location: 1020 Torgersen Hall
Price: Free
Contact: Tonya Pruitt
E-Mail: lisa@vt.edu
540-231-8354
   
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