Introduction to Statistics
Population and samples
Data analysis and presentation
Variables tabulation
Vhart and diagram preparation
Sampling techniques and sample size
Probability and proportions
Test of significance
Normal test t test
Chi square test
One way ANOVA two way ANOVA
Post-hoc test etc
Correlation and its applications
Linear regression and multiple regression
Clinical trials and intervention studies
Measures for developing health statistical indicators
Morbidity and mortality statistics
Latest statistical computer software usage for data analysis (Graph Pad SPSS etc)
