Part-I. Set Theory and Mappings; Binomial Theorem; Logarithms; Trigonometry; Concepts of Limit and Continuity; Differentiation; Integration; Matrices and Determinants. Part-II. An Introduction to Biostatistics; Sampling Theory; Collection of Data; Graphical Representation of Data; Measure of Central T endency; Measure of Dispersion; Probability Theory; Inferental Statistics and T ext of Signification; Coefficient of Contingency and Chi-Square T est.