269317 Review of statistical analyses covered in part 1

Sunday, October 28, 2012 : 12:40 PM - 1:00 PM

Michael A. Joseph, PhD, MPH , Department of Epidemiology and Biostatistics, School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
This session is designed to reinforce analyses pertaining to the one-sample t-test, independent samples t-test and paired t-test through use of fun, interactive quizzes that foster critical thinking and discussion.

Learning Areas:
Biostatistics, economics
Epidemiology

Learning Objectives:
Differentiate between one-sample t-test, independent samples t-test, and the paired t-test.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Over the past decade, I have had extensive experience teaching biostatistics, computing and epidemiologic research methods to diverse audiences with varying knowledge, expertise and skill levels.
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.

Back to: 2013.0: Biostatistics for non-statisticians