Principle Of Statistics By Dr Alok Gupta

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).

1Statistics : Meaning, Nature and Limitations, 2 .Statistics : Scope and Importance, 3 .Types and Collection of Data , 4 .Summation Operation and Rules of Sigma Operations , 5. Classification and Tabulation of Data , 6 .Construction of Frequency Distribution, 7 .Measures of Central Tendency, 8. Measures of Dispersion, 9. Partition Values, 10. Measures of Skewness , 11. Regression Analysis , 12 .Correlation, 13 .Index Number , 14. Analysis of Time-Series, 15. Business Forecasting , 16 Probability Theory, 17. Appendix (Log-Antilog Table).

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

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).

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 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. Averages, 2. Ratio, 3. Proportion, 4. Proportion, 5. Profit and Loss, 6. Simple Interest, 7. Compound Interest, 8. Annuity, 9. True Discount and Banker’s Discount, 10. Basic Concepts of Set Theory, 11. Simultaneous Equations, 12. Quadratic Equations, 13. Quadratic Equations.

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. Simultaneous Equations, 2. Linear Programming (Two Variable), 3. Elementary Matrices, 4. Determinant, 5. Logarithms and Antilogarithms, 6. Simple Interest, 7. Compound Interest, 8. Annuities (Sinking Fund), 9. Ratio, 10 . Valuation of Simple Loan and Debenture, 11. Proportion, 12. Averages, 13. Percentage, 14. Commission and Brokerage, 15. Discount, 16. Profit and Loss, 17. Transportation Problem,