Online Program

Review of statistical analyses covered in part 1

Sunday, November 1, 2015 : 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 independent and paired samples t-test, and one-way anova through use of fun, interactive quizzes that foster critical thinking and discussion.

Learning Areas:

Biostatistics, economics

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

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.