Includes bibliographical references and index.

Preface -- Acknowledgements -- About the authors -- Introduction to statistics -- Section A: Parametric statistics -- Frequency distribution -- Measures of central tendency -- Measures of variability -- Correlation, regression and prediction -- Other methods of correlation -- Significance of difference between means -- Analysis of variance -- Normal distribution -- Psychological test construction -- Reliability, validity, standardization and norms -- Factor analysis -- Section B: Non-parametric statistics -- One sample and two related sample tests -- Non-parametric analysis of two independent samples -- Non-parametric tests for K-related samples -- Non-parametric tests for K-independent samples -- Measures of correlation and associated tests -- Computer application in statistics : statistical package for social sciences (SPSS) -- Exercises -- Answers to exercises -- Appendix: Statistical value tables -- Bibliography -- Index.

This book comprehensively covers all the methods of parametric and nonparametric statistics such as correlation and regression, analysis of variance, test construction, one-sample test to k-sample tests, etc. The two methods of statistics are presented simultaneously, with indication of their use in data analysis. Through adequate knowledge of both techniques, readers can select the appropriate method of testing as well as the graphical method for representing the data.-- This unique textbook guides students and researchers of social sciences to successfully apply the knowledge of parametric and nonparametric statistics in the collection and analysis of data.

In English.