Designed for MBA, MCom, MA (Economics), MA (Sociology) and PhD (Management, Commerce, Economics, and Engineering) courses, this second edition provides a comprehensive account of the concepts and statistical tools of research methodology. It also serves as a reference for consultants to carryout projects/consultancy in industries or service organisations.

Key features


Written in an easy to read style.
Each technique is illustrated with numerical examples.
Provides a complete account of statistics and aspects of research methodology.
Provides a complete account of testing of hypotheses.
Includes design and analysis of experiments, advanced multivariate analysis, multidimensional scaling and conjoint analysis, algorithmic research, models for industries and public systems.
Graded chapter-end questions.


New to this edition

Now includes a chapter on SPSS (Chapter 17), showing readers how to obtain statistics for different techniques presented in the text. The different screenshots for different modules of SPSS applied to suitable example problems on sample session for data creation, reports, descriptive statistics, tables, compare means, general linear model, correlation, simple regression, nonparametric tests, classify, data reduction and graphs will help readers to understand the features of SPSS.