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

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.

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).

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. Matrices and Simultaneous Equation, 2. Determinant, 3. Arithmetic Progression, 4. Geometric Progression, 5. Harmonic Progression, 6. Permutation and Combination, 7. Ratio and Proportion, 8. Simple Interest, 9. Compound Interest, 10. Annuity, 11. Discount, 12. Differentiation, 13. Integration, 14. Application of Differentiation and Integration in the Field of Commerce and Trade, 15. Liner Programming, 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.

Business Statistics has been given an important place in our courses of studies in various social sciences, business management, public administration, etc. No student of these disciplines can afford without knowledge of this important branch of knowledge. The present textbook ‘Business Statistics’ is designed to introduce students of business economics and management to the method and application of Statistics. This book is of utmost utility for the students of various courses namely B.Com, M.Com, MBA, etc. For the help of the students, the subject matter of the book is simple, comprehensible and easily understandable. Moreover, wherever required, important facts, examples, tables, graphs, etc. are used for enhancing the quality of the chapters. For a better understanding of various theories and principles in each lesson, Practical Problems And Solutions are also included. In addition to this for self-assessment, at the end of each chapter Long Answer Type Questions, Short Answer Type Questions and Objective Type Questions are given.

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. 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. 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.