Practical Statistics For Business


Practical Statistics For Business
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Practical Statistics For Business


Practical Statistics For Business
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Author : Ruth Ravid
language : en
Publisher:
Release Date : 2007

Practical Statistics For Business written by Ruth Ravid and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematics categories.


This innovative new approach to statistics simplifies concepts for those using them in the business world. The book discusses the basics of statistics starting with an introduction to business research. It explores how and why to apply statistics to business research. The text covers all relevant descriptive statistics, normal curves and standard scores; correlation; regression; and inferential statistics. It also includes a section on validity and reliability. The book ends with a section on using statistics in a research study and testing students' ability to identify when to use each statistical test.



Practical Statistics


Practical Statistics
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Author : John Buglear
language : en
Publisher: Kogan Page Publishers
Release Date : 2013-11-03

Practical Statistics written by John Buglear and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-03 with Business & Economics categories.


Practical Statistics is an introduction and reference guide for those studying business and management at postgraduate level, MBA students and professionals. It gives the reader a solid understanding of statistics without being too simple or mind-numbingly complex. It turns statistics, often perceived as being difficult and pointless, into something approachable and sensible. John Buglear emphasizes the importance of working back from results rather than working out results. He starts the book with basic concepts that get increasingly more complex, from simple diagrams to multivariate methods, as well as using simple metaphors to aid understanding. The book has a two-level approach, with sections headed 'The essentials' and 'Tell me more' to support learning at all levels. A rare book on business statistics that students and professionals can really understand, Practical Statistics supports active learning with use of applications and case studies, invaluable online learning materials and fully worked solutions to questions in the review section.



Practical Business Statistics


Practical Business Statistics
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Author : Andrew F. Siegel
language : en
Publisher: McGraw-Hill/Irwin
Release Date : 1996-12

Practical Business Statistics written by Andrew F. Siegel and has been published by McGraw-Hill/Irwin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12 with categories.


Practical Business Statistics, 5/e was written in response to instructors not wanting a formula driven, mathematically encyclopedic book. The use of computer applications means some topics no longer require coverage in detail. This allows future managers to know how to use and understand statistics. The text does this by using examples with real data that relate to the functional areas of business such as finance, accounting, and marketing. It de-emphasizes the theoretical, and presents the material in a well-written, easy style designed to motivate students. The emphasis is on understanding and applications as opposed to mathematical precision and formula detail.



Practical Statistics For Data Scientists


Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10

Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.


Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data



Practical Business Statistics


Practical Business Statistics
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Author : Andrew F. Siegel
language : en
Publisher: Irwin/McGraw-Hill
Release Date : 1999-08

Practical Business Statistics written by Andrew F. Siegel and has been published by Irwin/McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08 with Business & Economics categories.


This volume examines the applications of business statistics, using examples with real data that relates to the functional areas of business such as finance, accounting, and marketing. Topics include defining the role of statistics in business, and data structures and data sets.



Applied Statistics For Business And Management Using Microsoft Excel


Applied Statistics For Business And Management Using Microsoft Excel
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Author : Linda Herkenhoff
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-26

Applied Statistics For Business And Management Using Microsoft Excel written by Linda Herkenhoff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Computers categories.


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.



Practical Statistics For Data Scientists


Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: O'Reilly Media
Release Date : 2020-04-10

Practical Statistics For Data Scientists written by Peter Bruce and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.


Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data



Business Statistics For Dummies


Business Statistics For Dummies
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Author : Alan Anderson
language : en
Publisher: John Wiley & Sons
Release Date : 2013-11-26

Business Statistics For Dummies written by Alan Anderson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Business & Economics categories.


Score higher in your business statistics course? Easy. Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons. Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics. Shows you how to use statistical data to get an informed and unbiased picture of the market Serves as an excellent supplement to classroom learning Helps you score your highest in your Business Statistics course If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.



Statistics For Business And Economics


Statistics For Business And Economics
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Author : David Ray Anderson
language : en
Publisher:
Release Date : 2006

Statistics For Business And Economics written by David Ray Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Commercial statistics categories.




Statistics For Business


Statistics For Business
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Author : Jonathan D. Cryer
language : en
Publisher: South-Western Pub
Release Date : 1994

Statistics For Business written by Jonathan D. Cryer and has been published by South-Western Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Business & Economics categories.


This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.