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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.
Statistics For Management is a textbook of business statistics that helps students grasp the fundamentals of the subject in a simple and easy manner.Statistics For Management is a detailed textbook on the subject of business statistics. It seeks to dispel the seeming complexity of the subject by presenting the concepts in a lucid and visually demonstrative manner. The book begins with an overview of business statistics. Subsequent chapters cover topics like tables and graphs, probability, sampling, estimation, testing hypotheses, and quality and quality control. The last few chapters present concepts like chi-square, analysis of variance, simple regression and multiple regression, non-parametric methods, time series and forecasting, and index numbers. The book ends with a chapter on decision theory. The concepts in the book are explained at length, and illustrative explanations are given precedence over complex mathematical notations. Also, each discussion is accompanied by examples that demonstrate one or more real world applications of the concepts. All the hypothesis tests are conducted using the standardized scale. Every section ends with three types of exercises for practice self-evaluative, basic, and application exercises. A very useful feature of the book is the Hints And Assumptions feature, which provides useful hints for solving the exercise problems and alerts the students about the commonly committed mistakes while solving them. Statistics For Management was published in 2011 by Pearson.
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.
This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.
Bringing to life the most widely used quantitative measurements and statistical techniques in marketing, this book is packed with user-friendly descriptions, examples and study applications. The process of making marketing decisions is frequently dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems. Any student hoping to enter the world of marketing will need to show that they understand and have mastered these techniques. A bank of downloadable data sets to compliment the tables provided in the textbook are provided free for you.
This is the first book to introduce senior level students of management science practicing managers to the modern powerful statistical methods that are available for optimizing and improving business processes. Using realistic case studies from businesses, this book explains the key statistical concepts workers in this field need to know. In particular, there is a focus on the use of probabilistic methods and statistical analysis in a business context and the value of these methods for managers. The mathematical explanations are comprehensive with an emphasis on the essential principles.
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.