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LISA Statistics Short Course: Design of Experiments
(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.
Fall 2014 Schedule:
Tuesday, October 7: Design of Experiments;
Tuesday, October 14: SQL in R;
Tuesday, October 21: Survey;
Tuesday, October 28: Introduction to R;
Tuesday, November 4: Generalized Linear Models and Categorical Data Analysis in R;
Tuesday, November 11: Graphics in R;
Tuesday, November 18: A tutorial for shiny in R;
Tuesday, December 2: Data Analysis in SAS;
Tuesday, October 7;
Instructor: Ana Maria Ortega Villa;
Title: Design of Experiments;
Course Information:
Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are able to control important factors associated with the outcome of interest, therefore collecting useful data that may provide strong evidence for causality.
In this short course, we will discuss the three basic principles of design of experiments, namely: 1) randomization (to ensure results are not biased by time, order, fatigue, etc.), 2) replication (to improve our estimation of the effects), and 3) local control of error (to reduce variability from known sources). We will also use two example data sets to illustrate the three principles and their application to two straightforward design scenarios: The Complete Randomized Design with the Plasma Etching Experiment and the Randomized Complete Block Design with the Vascular Craft Experiment, both found the Douglas Montgomery Design and Analysis of Experiments book. We will enter and, and analyze the data in JMP, software that can be acquired in Torgesen Bridge. This course is aimed for students with no design of experiments background and assumes that the audience is familiar with concepts such as hypothesis testing and p-value.
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540-231-8354