BUSINESS MATHEMATICS 1. Arithmetic Progression, 2. Geometric Progression, 3. Harmonic Progression, 4. Simple Interest, 5. Compound Interest, 6. Profit and Loss, 7. Percentage, 8. Stock and Shares, 9. Discount, 10. Present Value, 11. Ratio and Proportion, STATISTICS 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.Index Number. Appendix (Log-Antilog Table).

1. Averages, 2. Ratio, 3. Proportion, 4. Percentage, 5. Profit and Loss, 6. Simple Interest, 7. Compound Interest, 8. Annuities, 9. True Discount and Banker’s Discount, 10. Basic Concepts of Set Theory, 11. Simultaneous Equations, 12. Quadratic Equations (In One Variable Inequalities), 13. Linear Programming (Two Variable).

BUSINESS MATHEMATICS 1. Arithmetic Progression (A.P.), 2. Geometric Progression (G.P.), 3. Harmonic Progression (H.P.), 4. Properties of A. P., G. P. and H. P., 5. Permutation and Combination, 6. Determinants, 7. Matrices, 8. Set Theory, 9. Differentiation, 10. Integration, STATISTICS 1. Measures of Central Tendency : Arithmetic Mean, 2. Median, 3. Mode, 4. Geometric Mean, 5. Harmonic Mean, 6. Analysis of Time Series, 7. Theory of Probability, 8. Interpolation and Extrapolation, Log and Antilog Tables Latest Model Paper Board Examination Paper.

1.Statistics : Concept, Nature and Limitations, 2.Statistics : Scope and Significance, 3.Types and Collection of Data, 4. Classification and Tabulation of Data, 5. Frequency Distribution, 6. Graphic Presentation of Data, 7. Measures of Central Tendency (Mean, Median, Mode), 8. Measures of Variation or Dispersion (Rang, Q. D., M. D. & S. D.), 9. Measures of Skewness, 10. Measures of Kurtosis, 11. Correlation, 12. Regression Analysis, 13. Probability Theory, 14. Probability Distributions (Binomial, Poisson and Normal), 15. Sampling Theory and Tests of Significance. 16. Appendix.

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 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. Index Numbers , 21. Analysis of Time Series , 22. Indian Statistics, Appendix.

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 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. Index Numbers, 21. Analysis of Time Series, 22. Interpolation and Extrapolation, 23. Regression Analysis, 24. Probability Theory, 25. Probability Distributions or Theoretical Frequency Distributions, 26. Association of Attributes, 27. Sampling Theory and Tests of Significance , 28. Chi-Square Test and Goodness of Fit, 29. Analysis of Variance, 30. Statistical Quality-Control, Appendix

1. Matrices 2. Determinant 3. Continuity 4. Differentiation 5. Increasing and Decreasing Functions 6. Maxima and Minima 7. Applications of Derivatives 8. Mathematics of Finance 9. Linear Programming 10. Statistics : Meaning, Nature and Limitations 11. Correlation 12. Regression Analysis 13. Index Number 14. Analysis of Time Series