Biostatistics in Health Sciences

At the end of this course, the students should be able to: 1. describe essential statistics needed in analysing acquired data in health and medical research such as measures of central tendency, dispersion, association; and 2. apply statistical tools for quantitative analysis of research data in health sciences.

Introduction to statistics, definitions and examples of basic statistical terminologies, descriptive statistics and tabular and graphical presentations. Populations samples and the Normal distribution to Demography in medicine, procedures for hypothesis testing. Analysis of variance, correlation and regression, Chi-square, non-parametric techniques, relative risk and measure of strength of association, computers – an overview.