Students participate in group and individual projects, group discussions, and oral presentations. Examples in health sciences stressed. Critical interpretation of research results, and introduction to the computer for data processing and statistical analysis. Introduction to concepts and methods of descriptive and inferential statistics, with applications in specific disciplines emphasized. Topics include comparison of means and proportions, hypothesis testing, confidence intervals, nonparametric methods, linear regression and correlation.
Different sections target specific student populations.
Topics include comparison of means and proportions, hypothesis testing, confidence intervals, non-parametric methods, linear regression, and correlation. Examples are drawn from the biomedical literature, and real data sets are analyzed by the students after a brief introduction to the use of standard statistical computer packages. Statistical techniques covered include description of samples, comparison of two sample means and proportions, simple linear regression and correlation. Examples drawn from the biomedical literature with computer assignments using standard statistical computer packages. Classification and discrimination techniques.