LISA Statistics Short Course: Designing Experiments and Collecting Useful Data
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.
Fall 2012 Schedule:
September 11: Designing Experiments and Collecting Useful Data;
September 17 & 18: Using JMP to design experiments and analyze the results;
September 25: Designing Surveys;
November 2: Analyzing Surveys;
November 8: Introduction to R, Part I;
November 9: Introduction to R, Part II;
November 15 & 16: How to make plots to tell the story of your data;
*These courses will be held in the GLC, all other courses are in 3060 Torgersen Hall.
Tuesday, September 11;
Instructor: Jonathan Stallings;
Title: Designing Experiments and Collecting Useful Data;
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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