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 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 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.

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.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. Types and Collection of Data Univariate, Bivariate, Multivariate, Time Series and Cross Section Data, 4. Classification and Tabulation of Data, 5. Diagrammatic Presentation of Data, 6. Graphic Presentation of Data, 7. Measures of Central Tendency, 8. Geometric Mean and Harmonic Mean, 9. Partition Values, 10. Measures of Dispersion, 11. Measures of Skewness, 12. Measures of Kurtosis, 13. Probability Theory, 14. Probability Distributions or Theoretical Frequency Distribution, 15. Correlation, 16. Regression Analysis, 17. Index Number, 18. Analysis of Time Series, 19. Sampling Concepts, Sampling Distributions and Estimation, Appendix

An excellent book for commerce students appearing in competitive, professional and other examinations. 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, 21. Analysis of Time Series, 22. Interpolations 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 (SQC).

An excellent book for commerce students appearing in competitive, professional and other examinations. Business Statistics 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. SYLLABUS Unit I : Statistics : Concept, Significance & Limitation, Type of Data, Classification & Tabulation, Frequency Distribution & Graphical Representation. Unit II : Measures of Central Tendency (Mean, Median, Mode), Measures of Variation : Significance & Properties of a Good Measure of Variation : Range, Quartile Deviation, Mean Deviation and Standard Deviation, Measures of Skewness & Kurtosis. Unit III :Correlation : Significance of Correlation, Types of correlation, Simple Correlation, Scatter Diagram Method, Karl Pearson Coefficient of Correlation. Regression : Introduction, Regression Lines, Regression Equation & Regression Coefficient. Unit IV :Probability : Concept, Events, Addition Law, Conditional Probability, Multiplication Law & Baye’s Theorem [Simple Numerical], Probability Distribution : Binomial, Poisson and Normal. Unit V : Sampling Method of Sampling, Sampling and Non-Sampling Errors. Test of Hypothesis, Type-I and Type-II Errors, Large Sample Tests.

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

1. Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Types and Collection of Data (Univariate, Bivariate, Multivariate, Time Series and Cross Section Data), 4. Classification and Tabulation of Data, 5. Diagrammatic Presentation of Data, 6. Graphic Presentation of Data, 7. Measures of Central Tendency, 8. Geometric Mean and Harmonic Mean, 9. Partition Values, 10. Measures of Dispersion, 11. Measures of Skewness, 12. Measures of Kurtosis, 13. Probability Theory, 14. Probability Distributions or Theoretical Frequency Distribution, 15. Correlation, 16. Regression Analysis, 17. Index Number, 18. Analysis of Time Series. 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).