Online Program

Review of statistical analyses covered in part 1

Sunday, November 3, 2013 : 9:45 a.m. - 10:00 a.m.

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

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.