Quantitative Methods
	Basic Mathematics
	Unit I :
	» Concepts of Functions and Types of Functions » Limits and Continuity » Derivatives and Rules of Differentiation » Revenue, Cost, Demand, Supply Functions and Elasticities » Problems of Maxima and Minima in Single Variable Function » Multi-Variable Functions, Partial Derivatives and Their Meaning » Problems of Maxima and Minima in Multi-Variable Function—Unconstrained and Constrained Optimization » Integration
	Unit II
	» Determinants and their Basic Properties; Solution of Simultaneous Equations through Cramers’ Rule » Concept of Matrix » Concept of Vector and Introduction to Input-output Analysis » Difference Equations
	Unit III
	» Linear Programming » Game Theory
	Unit IV
	» Correlation » Regression » Partial and Multiple Correlation and Regression » Probability » Random Variable and Probability Function » Binomial, Poisson and Normal Distributions
	Unit V
	» Sampling and Sampling Distribution » Estimator and Estimation » Hypothesis Testing » Distribution (Test for Goodness of Fit) » Analysis of Variance (F Test) » Basic Issues in Statistics » Appendix-1 : Measures of Central Tendency » Appendix -2 : Measures of Despesion, Skewness, Kurtosis and Moments » Appendix-3 : Index Number » Tables.