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LISA Statistics Short Course: T-tests & ANOVA
(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.
Spring 2015 Schedule:
Monday & Tuesday, February 16 & 17: Basics of R;*
Monday & Tuesday, February 23 & 24: Graphics in R;*
Tuesday, March 3: Multivariate Analysis in R;
Tuesday, March 17: Designing Experiments;
Monday & Tuesday, March 23 & 24: Using ggplot2 to produce enhanced graphics in R;*
Tuesday, April 7: T-tests & ANOVA;
Tuesday, April 14: Solutions for Broken Linear Models;
Tuesday, April 21: Generalized Linear Models (GLMs) & Categorical Data Analysis (CDA);
*Two sessions to accommodate more attendees.
Tuesday, April 7;
Instructor: Kris Patton;
Title: T-tests & ANOVA;
Course Information:
Often in science it is important to address the question of whether mean responses differ from one another between groups. For example, average anthropometric measurements may differ between organisms that come from two differing environmental backgrounds. When one is interested in the difference between means of strictly two groups, the most common statistical procedure in this situation is known as the t-test. When there are two or more groups the typical approach is to employ the analysis of variance (ANOVA).
This course will review the concepts behind two-sample and paired t tests and one and two-way ANOVA models. Course attendees will learn the basic motivation and assumptions of each method. Hypothesis tests, confidence intervals, and measures of effect size will also be described for each approach.
To exemplify the t-test and one-way ANOVA, the Egyptian Skulls data set (http://www.dm.unibo.it/~simoncin/EgyptianSkulls.html) will be utilized, which consists of measurements of male Egyptian skulls from five different time periods.
For a better understanding of the two-way ANOVA, we will incorporate analysis of a data set from a lung cancer study at the VA (http://biostat.mc.vanderbilt.edu/wiki/Main/DataSets).
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More information...
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540-231-8354