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Statistics in Management Studies

Statistics in Management Studies
Author:
Publisher: Krishna Prakashan Media
Total Pages: 792
Release:
Genre:
ISBN: 9788187224068

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Statistics for Management and Economics

Statistics for Management and Economics
Author: Gerald Keller
Publisher:
Total Pages: 900
Release: 2003
Genre: Economics
ISBN: 9780534491239

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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.


Applied Statistics for Business and Management using Microsoft Excel

Applied Statistics for Business and Management using Microsoft Excel
Author: Linda Herkenhoff
Publisher: Springer Science & Business Media
Total Pages: 426
Release: 2013-11-26
Genre: Computers
ISBN: 1461484235

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Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.


Methods and Applications of Statistics in Business, Finance, and Management Science

Methods and Applications of Statistics in Business, Finance, and Management Science
Author: Narayanaswamy Balakrishnan
Publisher: John Wiley & Sons
Total Pages: 735
Release: 2010-07-13
Genre: Mathematics
ISBN: 0470405104

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Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science. Uniting established literature with the latest research, this volume features classic articles from the acclaimed Encyclopedia of Statistical Sciences, Second Edition along with brand-new contributions written by today's leading academics and practitioners. The result is a compilation that explores classic methodology and new topics, including: Analytical methods for risk management Statistical modeling for online auctions Ranking and selection in mutual funds Uses of Black-Scholes formula in finance Data mining in prediction markets From auditing and marketing to stock market price indices and banking, the presented literature sheds light on the use of quantitative methods in research relating to common financial applications. In addition, the book supplies insight on common uses of statistical techniques such as Bayesian methods, optimization, simulation, forecasting, mathematical modeling, financial time series, and data mining in modern research. Providing a blend of traditional methodology and the latest research, Methods and Applications of Statistics in Business, Finance, and Management Science is an excellent reference for researchers, managers, consultants, and students in the fields of business, management science, operations research, supply chain management, mathematical finance, and economics who must understand statistical literature and carry out quantitative practices to make smart business decisions in their everyday work.


Applied Statistics for Social and Management Sciences

Applied Statistics for Social and Management Sciences
Author: Abdul Quader Miah
Publisher: Springer
Total Pages: 447
Release: 2016-02-29
Genre: Social Science
ISBN: 9811004013

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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.


Statistics and Management

Statistics and Management
Author: P N Arora & S Arora
Publisher: S. Chand Publishing
Total Pages: 486
Release: 2009
Genre: Business & Economics
ISBN: 9788121922852

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For MBA Course, Anna University, Chennai, Trichy, Tirunelveli Coimbatore and Other Indian Universities.


Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science
Author: Roberto Rivera
Publisher: John Wiley & Sons
Total Pages: 688
Release: 2020-02-05
Genre: Mathematics
ISBN: 1119486416

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Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.


Statistics in Management Science

Statistics in Management Science
Author: Andrew V. Metcalfe
Publisher: Hodder Education
Total Pages: 423
Release: 2000
Genre: Mathematics
ISBN: 9780340740750

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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.


Statistics for Management

Statistics for Management
Author: Richard I. Levin
Publisher: Pearson Education India
Total Pages: 1144
Release: 2008-12
Genre: Business & Economics
ISBN: 9788177585841

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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.