Mathematical Methods
1. Variables, Functions and Graphs, 2. Set Theory, 3. Equations and Identity, 4. Differentiation,5. Applications of Derivatives in Economics, 6. Maxima and Minima, 7. Integration, 8. Applications of Integration in Economics, 9. Determinant and Cramer's Rule, 10. Matrices,
Statistical Analysis
1. Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Statistical Investigation, 4. Types and Collection of Data, 5. Questionnaire and Schedule, 6. Sample Survey, 7. Editing of Collected Data, 8. Classification and Tabulation of Data, 9. Diagrammatic Presentation of Data, 10. Graphic Presentation of Data, 11. Construction of Frequency Distribution, 12. Measures of Central Tendency, 13. Geometric Mean and Harmonic Mean, 14. Partition Values, 15. Measures of Dispersion, 16. Measures of Skewness, 17. Moments, 18. Measures of Kurtosis, 19. Correlation, 20. Regression Analysis, 21. Analysis of Time Series, 22. Index Number, 23. Probability Theory, 24. Theoretical Frequency Distributions or Probability Distributions.