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| Author | : Trevor Wegner |
| Publisher | : |
| Total Pages | : 570 |
| Release | : 2020 |
| Genre | : Commercial statistics |
| ISBN | : 9781485130499 |
Applied Business Statistics 5e is an introductory and intermediate Statistics text for students of Management. Its business applications-oriented approach aims to teach Management students how statistics (or data analytics) can be used as a valuable decision-support tool in any discipline of management practice.
| Author | : David P. Doane |
| Publisher | : |
| Total Pages | : 834 |
| Release | : 2006-02 |
| Genre | : Commercial statistics |
| ISBN | : 9780071108140 |
David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.
| Author | : Malcolm O. Asadoorian |
| Publisher | : University Press of America |
| Total Pages | : 304 |
| Release | : 2005 |
| Genre | : Business & Economics |
| ISBN | : 9780761830306 |
Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.
| Author | : Dennis E. Hinkle |
| Publisher | : |
| Total Pages | : 514 |
| Release | : 1979 |
| Genre | : Mathematical statistics |
| ISBN | : |
| Author | : David M. McEvoy |
| Publisher | : John Wiley & Sons |
| Total Pages | : 212 |
| Release | : 2018-04-10 |
| Genre | : Business & Economics |
| ISBN | : 1119138353 |
An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae. The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are introduced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource: Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals Introduces the concepts and techniques through concise and intuitive examples Focuses on understanding by moving distracting formulae and mathematical notation to appendices Offers intuition, insights, humor, and practical advice for students of business statistics Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics.
| Author | : Michael H. Kutner |
| Publisher | : McGraw-Hill/Irwin |
| Total Pages | : 701 |
| Release | : 2003-09 |
| Genre | : Mathematics |
| ISBN | : 9780072955675 |
Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
| Author | : Ignacio Castillo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 850 |
| Release | : 2023-05-08 |
| Genre | : |
| ISBN | : 1119983223 |
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.
| Author | : Bruce L. Bowerman |
| Publisher | : |
| Total Pages | : 665 |
| Release | : 2011-02 |
| Genre | : Commercial statistics |
| ISBN | : 9780071314718 |
The new edition of Essentials of Business Statisticsdelivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. Containing continuing case studies that emphasize the theme of business improvement, the text offers real applications of statistics that are relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of examples and exercises, and a robust, technology-based ancillary package are designed to help students master this subject. In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles. The only prerequisite for this text is high school algebra.
| Author | : Lori . Seward |
| Publisher | : McGraw-Hill Education |
| Total Pages | : 848 |
| Release | : 2021-01-12 |
| Genre | : Business & Economics |
| ISBN | : 9781264098569 |
Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.
