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LISA Statistics Short Course: Designing Experiments and Collecting Useful Data
(Academic)
LISA SHORT COURSES IN STATISTICS
LISA (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.
Spring 2012 Schedule:
January 31: Designing Experiments and Collecting Useful Data;
February 7: How to Create a Successful Survey;
February 14: Statistical Analysis in R, Part I;*
February 16: Statistical Analysis in R, Part II;*
February 21 & February 23: Plotting Data in R through Excel;*
February 28: Regression Analysis with Categorical Factors using JMP and R;
March 13: Bayesian Methods for Regression in R;*
*These courses will be held in 3060 Torgersen, all other courses will be held in GLC Room F.
Tuesday, January 31;
Instructor: Jonathan Stallings;
Title: Designing Experiments and Collecting Useful Data;
Course Information:
Across all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained information by reducing wasted resources and allocating treatments in such a way as to minimize variances. Ideally, a design will account for major sources of variation so that the researcher can be confident the effects of treatments are not confounded with extraneous factors. In this course, the basic principles of experimental design will be given and specific designs discussed. The first designs introduced will be completely randomized designs, the most straightforward design when a researcher wants to test for differences among multiple treatments. Optimal blocking strategies will then be presented as a variance-reducing technique, e.g. perhaps the researcher feels a subject's gender may significantly affect observations. For each design we will discuss implementation, appropriate analysis and provide examples in SAS. If time permits we may also introduce more complicated designs tailored specifically to the researchers attending the course.
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More information...
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540-231-8354