An Essential Guide to Business Statistics PDF Download
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Author: Dawn A. Willoughby
Publisher: John Wiley & Sons
ISBN: 1118715632
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
An Essential Guide to Business Statistics offers a clear and concise introduction for business students studying statistics for the first time. It helps them to become proficient in using statistical techniques and interpreting their results within a business content and will enable them to have a better understanding of customers, decision making and planning for the future. This is an ideal resource for undergraduate business students taking introductory modules in business statistics or quantitative methods. Accompanying the text is a rich supporting website which contains additional teaching and learning materials including slides for each chapter, tutorials in excel, self-test quizzes and student practice projects at varying difficulty levels.
Author: Dawn A. Willoughby
Publisher: John Wiley & Sons
ISBN: 1118715632
Category : Business & Economics
Languages : en
Pages : 368
Get Book Here
Book Description
An Essential Guide to Business Statistics offers a clear and concise introduction for business students studying statistics for the first time. It helps them to become proficient in using statistical techniques and interpreting their results within a business content and will enable them to have a better understanding of customers, decision making and planning for the future. This is an ideal resource for undergraduate business students taking introductory modules in business statistics or quantitative methods. Accompanying the text is a rich supporting website which contains additional teaching and learning materials including slides for each chapter, tutorials in excel, self-test quizzes and student practice projects at varying difficulty levels.
Author: David M. McEvoy
Publisher: John Wiley & Sons
ISBN: 1119138353
Category : Business & Economics
Languages : en
Pages : 212
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Book Description
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: Sunny Baker
Publisher: Penguin
ISBN: 9780028639871
Category : Business & Economics
Languages : en
Pages : 340
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Book Description
Dr. Sunny Baker gives readers a step-by-step guide to choosing, using and interpreting statistical analyses for business. She approaches statistical evaluations as concepts, using no math and focusing on what businesspeople need to interpret.
Author: Ignacio Castillo
Publisher: John Wiley & Sons
ISBN: 1119983223
Category :
Languages : en
Pages : 850
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Book Description
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: David Borman
Publisher: Simon and Schuster
ISBN: 1507208189
Category : Mathematics
Languages : en
Pages : 240
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Book Description
A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
Author: Thomas J. Quirk
Publisher: Springer Nature
ISBN: 3030392783
Category : Mathematics
Languages : en
Pages : 260
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Book Description
Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition features a wealth of new sample problems and solutions, as well as updated chapter content throughout.
Author: David M. Levine
Publisher: FT Press
ISBN: 0137025939
Category : Business & Economics
Languages : en
Pages : 386
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Book Description
Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statisticsi s a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to: • Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics • Use probability and probability distributions • Work with sampling distributions and confidence intervals • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques • Perform powerful regression analysis and modeling • Use multiple regression to develop models that contain several independent variables • Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e
Author: Alan H. Kvanli
Publisher:
ISBN: 9780314042248
Category : Commercial statistics
Languages : en
Pages : 964
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Book Description
This comprehensive text uses a conversational writing style to make the material covered less intimidating for students. It fully integrates the use of computers with statistics, but can still be used by those desiring a more traditional calculator-based approach.
Author: David M. McEvoy
Publisher: John Wiley & Sons
ISBN: 111913837X
Category : Business & Economics
Languages : en
Pages : 197
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Book Description
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: Dr.J.Premalatha
Publisher: SK Research Group of Companies
ISBN: 8119980808
Category : Language Arts & Disciplines
Languages : en
Pages : 261
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Book Description
Dr.J.Premalatha, Vice Principal, Dhanalakshmi Srinivasan Arts and Science(Co-Ed) College, Mamallapuram, Chennai, Tamil Nadu, India. Dr.K.Kalaiselvi, Professor, Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, Tamil Nadu, India. Dr.A.Senthilkumar, Assistant Professor, Department of Computer Science with Data Analytics, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India.
