269147 Principles of hypothesis testing and confidence interval estimation: Part I

Sunday, October 28, 2012 : 10:15 AM - 11:40 AM

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 one-sample t-test, independent samples t-test, and paired t-test.

Learning Areas:
Biostatistics, economics
Epidemiology

Learning Objectives:
1. Discuss the differences and similarities between hypothesis testing and confidence interval estimation. 2. Describe research questions and type of data that lends itself to either one-sample t-test, independent samples t-test or paired t-test analysis. 3. Design written and oral presentations based on statistical analyses for both public health professionals and educated lay audiences.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: For the past decade I have taught classes in biostatistics, computing and epidemiologic research methods to diverse audiences with varying levels of knowledge, skill and expertise.
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