Applied Statistics/Biometrics

Students will be equipped with statistical techniques for designing experiments, analysing, interpreting and presenting research data. It covers:  Approaches to data collection; Research objectives and hypothesis; Concepts and principles of experimental design; Basic experimental designs and analysis of variance; Treatment comparisons and contrasts; Factorial experiments and their layout; Assumptions underlying analysis of variance and remedies for violation; Regression and correlation; Categorical data analysis; Non-parametric methods;  Multivariate data analysis; Statistical computing.  Students will be equipped with statistical techniques for designing experiments, analysing, interpreting and presenting research data.