Basic descriptive statistics; Frequency distribution. Measures of central tendency; Quantitative treatment of biological data; Normal distribution: standardized variables and of tables, applications such as the normal approximation to the binomial and hypothesis testing for large samples; Chi-square test for independence; Hypothesis testing for small samples including t-test; Nature of biological variation; Tests of significance, standard errors, confidence and difference between means; Correlation and regression; Experimental design; Analysis of variance.Non-parametric statistics; Statistical softwares; R, SAS, Gensat, Stata; Specialized statistical tools in Molecular Biology and Genetics; Careers and publications in Biostatistics.