The primary objective of this course is to introduce students to the applications of statistical methods necessary to write research proposals and critically review and evaluate public health journal articles.
Topics to be covered include:
Hypothesis Testing; Inference on means and proportions; Chi-square Test (x2) of null hypotheses; Contingency tables; Measures of association and their variance estimates; Test of hypothesis; Parametric and Non-Parametric test; Introduction to linear and logistic regression; Construction of Regression Model(s) keeping in view hypotheses; How to read and interpret regression results from SPSS/STATA print-out .
Computer packages will be used throughout the course; and students will learn how to use data analysis software (SPSS, STATA).
i. Dennis E. Hinkle, William Wiersma, Stephen G. Jurs: Applied statistics for the behavioral sciences: Houghton Mifflin, Volume 663, 2003.
ii. Timothy C. Urdan: Statistics in Plain English: Psychology Press, 2 Edition,2005.