1. Statistics : Meaning, Nature and Limitation, 2. Statistics : Scope and Importance, 3. Statistical Investigation, 4. Process of Data Collection, 5. Methods of Sampling, 6. Preparation of Questionnaire, 7. Classification and Tabulation of Data, 8. Measures of Central Tendency, 9. Quartiles, 10. Geometric Mean and Harmonic Mean, 11. Measures of Dispersion, 12. Measures of Skewness, 13. Analysis of Time Series, 14. Correlation, 15. Regression Analysis, 16. Regression Analysis, 17. Diagrammatic Presentation of Data, 18. Graphic Presentation of Data, Appendix (Log-Antilog Table).

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. Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Concept of Population and Sample, 4. Types and Collection of Data, 5. Construction of Frequency Distribution, 6. Measures of Central Tendency, 7. Geometric Mean, 8. Measures of Dispersion, 9. Measures of Skewness, 10. Measures of Kurtosis, 11. Probability Theory, 12. Probability Distribution or Theoretical Frequency Distribution, 13. Sampling Theory and Tests of Significance, 14. Correlation, 15. Regression Analysis

An excellent book for commerce students appearing in competitive, professional and other examinations. 1. Matrix, 2. Inverse and Rank of Matrix, 3. Percentage, 4. Ratio and Proportion, 5. Average, 6. Mathematical Series : Arithmetic Progression, 7. Geometric Progression, 8. Harmonic Progression, 9. Simple Interest, 10. Compound Interest, 11. Set Theory, 12. Permutation and Combination, 13. Differentiation, 14. Integration, 15. Maxima and Minima, 16. Application of Differentiation and Integration in Business.

An excellent book for commerce students appearing in competitive, professional and other examinations. 1.Editing of Collected Data, 2 .Classification and Tabulation of Data., 3. Diagrammatic Presentation of Data, 4. Graphic Presentation of Data, 5. Construction of Frequency Distribution, 6. Measures of Central Tendency, 7. Geometric Mean and Harmonic Mean, 8. Partition Values, 9. Measures of Dispersion, 10. Measures of Skewness, 11. Moments, 12. Measures of Kurtosis, 13. Correlation, Appendix 14. Index Numbers, 15. Analysis of Time Series.

1. Research Method, 2. Research Process, 3. Testing of Hypothesis, 4. Sampling Fundamentals, 5. Sampling Designs, 6. Measurement-I, 7. Measurement-II, 8. Data Collection-I, 9. Data Collection-II, 10. Processing of Data, 11. Test of Significance-I, 12. Test of Significance-II, 13. Test of Significance-III, 14. Non-Parametric Tests, 15. Report Preparation-I, 16. Report Preparation-II.

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 Number, 21. Analysis of Time Series, Table (Log-Antilog).

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, Table (Log-Antilog).

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. Graphic Presentation of Data , 6 .Measures of Central Tendency , 7. Measures of Dispersion, 8. Measures of Skewness, 9. Measures of Kurtosis, 10. Correlation, 11. Index Number.