The Manager's Guide to Statistics PDF Download

Author: Erol Pekoz
Publisher: Probabilitybookstore.com
ISBN: 9780979570476
Category : Business & Economics
Languages : en
Pages : 468

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Book Description
Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes Excel software for histograms, correlations and stepwise regression. The author Erol Pekoz teaches on the faculty of the Boston University Questrom School of Business and is the author of numerous technical articles and the book A Second Course in Probability. Data sets and a free statistical software download are available at smgpublish.bu.edu/pekoz"

Author: John Fox
Publisher: SAGE Publications
ISBN: 1071833243
Category : Social Science
Languages : en
Pages : 199

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Book Description
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.

Author: Katrina Maxwell
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 360

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Book Description
Applied Statistics for Software Managers is the first complete guide to using statistical techniques to solve specific software development and maintenance problems. You don't need a mathematical background; Katrina Maxwell presents an easy-to-follow methodology and detailed case studies that show you exactly how to assess productivity, time to market, development costs, maintenance cost drivers, and more.

Author: Narayanaswamy Balakrishnan
Publisher: John Wiley & Sons
ISBN: 0471722219
Category : Mathematics
Languages : en
Pages : 322

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Book Description
Designed as an introduction to statistical distribution theory. * Includes a first chapter on basic notations and definitions that are essential to working with distributions. * Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions. * Exercises are incorporated throughout the text in order to enhance understanding of materials just taught.

Author: MoonJung Cho
Publisher: CRC Press
ISBN: 1466596570
Category : Business & Economics
Languages : en
Pages : 280

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Book Description
This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics. Fulfilling the need for a practical user's guide, the book covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB, presenting examples of how MATLAB can be used to analyze data. It explains how to determine what method should be used for analysis, and includes figures, visual aids, and access to a companion website with data sets and additional examples.

Author: Joseph Prokopenko
Publisher: International Labour Organization
ISBN: 9789221059011
Category : Business & Economics
Languages : en
Pages : 312

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Book Description
Dealing with such productivity improvement programmes as action learning, quality circles, inter-firm comparisons and business clinics, this book also offers information on the most important areas in which productivity can be improved and on techniques field-tested in developing countries.

Author: J.A. John
Publisher: CRC Press
ISBN: 9781584882480
Category : Mathematics
Languages : en
Pages : 356

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Book Description
All business activities are subject to variability. As a consequence, managers and business students need the ability to think statistically about how to deal with the resulting uncertainty and its effect on decision-making in management and commerce. To give them that ability, there is a growing recognition that we must change the way business statistics is taught. Traditional texts tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the real needs of future business managers. Statistical Thinking for Managers takes a very different, very practical, approach that presents even sophisticated statistics concepts with a minimum of mathematics. It focuses on statistical thinking and discusses a range of topics that specifically apply to managers in business. Its scenario-based, interactive format and integrated use of Excel facilitate and reinforce the learning experience. Through this innovative treatment, readers will gain the ability to: " Appreciate basic statistical ideas " Use a scientific approach to problem solving " Understand the nature of variability " Use meaningful information to make informed decisions " Think in terms of processes and systems and develop strategies for process improvement Designed as an introductory text in business statistics, Statistical Thinking for Managers challenges the way students look at business problems and issues. It shows them the importance of statistics in all aspects of business and equips them with the skills they need to make informed and effective decisions.

Author: Milan Kubr
Publisher: International Labour Organization
ISBN: 9789221063995
Category : Business & Economics
Languages : en
Pages : 316

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Book Description
Offers a conceptual framework and a compendium of techniques, practical guide-lines and tips for managers in both the public and private sectors and those involved in the management of large and small enterprises, management centres and institutes.

Author: Harvard Business Review
Publisher: Harvard Business Press
ISBN: 1633694291
Category : Business & Economics
Languages : en
Pages : 169

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Book Description
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes

Author: Kristin Briney
Publisher: Pelagic Publishing Ltd
ISBN: 178427013X
Category : Computers
Languages : en
Pages : 312

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Book Description
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin