Online Program

Part 1: Independent and paired samples t-tests, one-way anova

Sunday, November 1, 2015 : 8:30 a.m. - 9:30 a.m.

Michael A. Joseph, PhD, MPH, Department of Epidemiology and Biostatistics, School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
Using practical, hands-on exercises, students will use SPSS to conduct and interpret analyses involving the independent samples t-test, paired t-test and one-way ANOVA.

Learning Areas:

Biostatistics, economics

Learning Objectives:
Describe research questions and type of data that lends itself to the independent samples t-test, paired t-test and one-way ANOVA. Design written and oral presentations based on statistical analyses.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: For over a decade I have taught classes in biostatistics, computing and epidemiologic research methods to diverse audiences with varying levels of knowledge, skill and expertise. I have also served as instructor for this LI for the past three years.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.