Teaches students how to apply statistics to real business problems through the authors' unique three-step approach to problem solving. Students learn to identify, compute and interpret the results in the context of the problem.

Appropriate for one or two term courses in introductory Business Statistics. With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics textbook that students can easily read and understand. Like its predecessors, the Seventh Edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the text an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how textbook principles work in professional practice.

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures. Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.

With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics book that users can easily read and understand. Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how book principles work in professional practice. Includes easy-to-understand explanations of difficult statistical topics, such as sampling distributions, relationship between confidence level and confidence interval, interpreting r-square. A complete package of teaching/learning aids is provided in every chapter, including chapter review exercises, chapter concepts tests,"Statistics at Work" conceptual cases, "Computer Database Exercises," "From the Textbook to the Real-World Examples." This ISBN is in two volumes Part A and Part B.

Primarily intended for the undergraduate and postgraduate students of management, the book can also be of immense help to the students of commerce, science and economics. The contents of the book cover the syllabi of various Indian universities and B-schools. The book is the outcome of the extensive teaching experience of the authors in various management schools. The text encompasses topics on descriptive statistics and averages, probability and Bayes’ theorem, distributions, sampling techniques, significance tests, chi-square tests and ANOVA. Besides, the book also acquaints the readers with the regression and correlation, and time series and index numbers. Distinguishing Features of the book • Statistics answers your questions in the beginning of each chapter outlines various areas of applications of statistics. • Various supplementary examples aid the students in gaining a thorough understanding of the discussed concept. • The case studies use real, recent and easily understandable data collected from various sources that acquaint the students with the real-life situations. • The self-test and exercises given at the end of each chapter test students’ comprehension of various underlying concepts and principles. • Answers to self-test and hints to exercises are also provided.