Fundamentals Of Business Statistics 2nd Edition
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| Author | : Sharma J.K. |
| Publisher | : Vikas Publishing House |
| Total Pages | : 565 |
| Release | : |
| Genre | : Business & Economics |
| ISBN | : 9325976161 |
Fundamentals of Business Statistics is intended to serve as a core textbook for undergraduate students of BBA, BCA, B Com and CA, ICWA and those who need to understand the basic concepts of business statistics and apply results directly to real-life business problems. The book also suits the requirement of students of AMIE, who need both theoretical and practical knowledge of business statistics. The second edition has been extensively revised with the objective of enhancing and strengthening the conceptual, as well as practical knowledge of readers about various techniques of business statistics. Its easy-to-understand approach will enable readers to develop the required skills and apply statistical techniques to decision-making problems. With a completely new look and feel, this book will facilitate the teaching of business statistics techniques as well as enhance the learning experience for students. New in This Edition • Completely revised and reorganized text to make explanations more cogent through relevant and interesting examples. • Large number of new business-oriented solved as well as practice problems representing the various business statistics techniques. • Explanations well illustrated with numerous interesting and varied business-oriented examples. • Pedagogical features like Conceptual Questions, Self Practice Problems with Hints and Answers. • Complete conformity to the latest trends of questions appearing in universities and professional examinations.
| Author | : Stephen J. Skripak |
| Publisher | : |
| Total Pages | : 442 |
| Release | : 2016-07-29 |
| Genre | : |
| ISBN | : 9780997920116 |
(Black & White version) Fundamentals of Business was created for Virginia Tech's MGT 1104 Foundations of Business through a collaboration between the Pamplin College of Business and Virginia Tech Libraries. This book is freely available at: http://hdl.handle.net/10919/70961 It is licensed with a Creative Commons-NonCommercial ShareAlike 3.0 license.
| Author | : J. K. Sharma |
| Publisher | : Pearson Education India |
| Total Pages | : 752 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 9788177586541 |
In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions.
| Author | : Derek L. Waller |
| Publisher | : Routledge |
| Total Pages | : 524 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : 075068660X |
Offering a strong foundation for presenting and interpreting statistical information in business and management, this book is based entirely on using Microsoft Excel where all appropriate statistical functions are referenced. Includes a CD-ROM.
| Author | : Diane Morien |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2013 |
| Genre | : Business mathematics |
| ISBN | : 9780170248914 |
This edition of Business Statistics is designed specifically for beginning statistics students who require a book on statistics that will explain everything, without leaving out any of the steps in the process. It summarises what students need to know shows how to select the correct technique to solve a problem ' but it doesn't take an overly mathematical approach. Designed to cover a twelve week semester, this text can be used for first year undergraduate students, for those studying at a technical college, or as part of a bridging unit for those wishing to enter university. This updated 2nd edition of Business Statistics features a Solutions Manual and Solution Slides for the instructor. This customised eBook has been created with the content you need for your studies. Due to the process used to produce this customised eBook, it doesn't offer the same functionality available in other Cengage eBooks, including read aloud and copy text.
| Author | : Wilfried Grossmann |
| Publisher | : Springer |
| Total Pages | : 361 |
| Release | : 2015-06-02 |
| Genre | : Computers |
| ISBN | : 3662465310 |
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
| Author | : Gareth James |
| Publisher | : Springer Nature |
| Total Pages | : 617 |
| Release | : 2023-08-01 |
| Genre | : Mathematics |
| ISBN | : 3031387473 |
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
| Author | : Richard D. De Veaux |
| Publisher | : Pearson |
| Total Pages | : 637 |
| Release | : 2016-04-01 |
| Genre | : Business & Economics |
| ISBN | : 0134379985 |
For one-semester courses in business statistics. This text offers a streamlined presentation of Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman . Better Decisions. Better Results. Business Statistics: A First Course, Third Edition , by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice—relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues–with an emphasis on analysis and understanding over computation–the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results. Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. Students, if interested in purchasing this title with MyMathLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyMathLab, search for: 0134462726 / 9780134462721 Business Statistics: A First Course Plus NEW MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134182448 / 9780134182445 Business Statistics: A First Course 032192147X / 9780321921475 MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyStatLab for Business Statistics Sticker
| Author | : Roger W. Hoerl |
| Publisher | : John Wiley & Sons |
| Total Pages | : 544 |
| Release | : 2012-04-09 |
| Genre | : Business & Economics |
| ISBN | : 1118236858 |
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
| Author | : Rand R. Wilcox |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 255 |
| Release | : 2010-03-18 |
| Genre | : Social Science |
| ISBN | : 1441955240 |
Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.
