The aim of this new edition is to update tables which appeared in 1976 and differs considerably from the first. Fifteen of the tables in this edition are new or extensively revised. A few have been dropped or amalgamated and the number of tables therefore has increased from 33 to 40. The publication presents within one cover a set of statistical, accounting and logarithmic tables used most widely in the social sciences, i.e. economics, management, business studies, sociology, politics, psychology, geography and education. The tables which are usually scattered over a number of books and articles and so not always in the form required by the general user, are brought together in a convenient form.

This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables. The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks.

This is a general and integrated introduction to qualitative and quantitative research design, data collection and analysis in the social sciences field and includes comprehensive and practical instruction (including screenshots) on the use of analysis software.

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.

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).

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 : 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.