Biostatistics and Research Methodology

Review of basic statistics. Measures of central tendency. Paired hypothesis: parametric and non-parametric analysis. Multi-sample hypothesis and multiple comparisons. Two factor analysis of variance. Data transformations. Multi-way factorial analysis of variance. Linear regression and comparing linear regression equations. Simple linear correlation and multiple regressions. Binomial distribution, testing for randomness and analyzing data using statistical computer packages. Designing research methodology. Selecting appropriate statistical test. Computer based data analysis. Interpretation and evaluation of results. Application of statistical results to decisions about research and practice.