Practical Statistics For Business
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Practical Statistics For Business
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Author : Ruth Ravid
language : en
Publisher: University Press of America
Release Date : 2007-10-23
Practical Statistics For Business written by Ruth Ravid and has been published by University Press of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Business & Economics 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 For Business
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Author : Eddie Reynolds
language : en
Publisher:
Release Date : 2016-01-29
Practical Statistics For Business written by Eddie Reynolds and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-29 with categories.
This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements, which can be used as a learning material for students pursuing their studies in undergraduate and graduate levels in universities and colleges and those who want to learn the topic via a short and complete resource. We hope you find this book useful in shaping your future career.
Practical Statistics For Business
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Author : Ruth Ravid
language : en
Publisher: University Press of America
Release Date : 2007-10-23
Practical Statistics For Business written by Ruth Ravid and has been published by University Press of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 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 For Business Mastering Business Analytics With Zomato
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Author : Himanshu Saxena
language : en
Publisher: Writer's Pocket
Release Date : 2024-07-08
Practical Statistics For Business Mastering Business Analytics With Zomato written by Himanshu Saxena and has been published by Writer's Pocket this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Business & Economics categories.
Transform your approach to business with "Practical Statistics for Business: Stats and Business analytics for dummies". This book is perfect for beginners in data analysis, marketers who want to improve their strategies, and business leaders looking to understand data better. Author Himanshu Saxena makes complex statistical concepts easy to understand, using simple language and real-world examples from Zomato. Learn how to apply methods like probability distributions, regression analysis, and hypothesis testing to real business scenarios. Each chapter includes practical problems and solutions to help you practice what you've learned. Whether you’re new to data or want to improve your skills, this book will help you make better decisions using data. Connect with Himanshu on LinkedIn for more insights and discussions. Note: The examples from Zomato are for learning purposes only and do not reflect their actual business operations.
Business Statistics In Practice
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Author : Bruce L. Bowerman
language : en
Publisher: Irwin/McGraw-Hill
Release Date : 2003
Business Statistics In Practice written by Bruce L. Bowerman 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 2003 with Business & Economics categories.
-- Study guide / prepared by Sandra Strassar.
The Practice Of Statistics For Business And Economics
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Author : David Moore
language : en
Publisher: WH Freeman
Release Date : 2020-07-13
The Practice Of Statistics For Business And Economics written by David Moore and has been published by WH Freeman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-13 with Mathematics categories.
Part of the best-selling David Moore introductory statistics textbook family, The Practice of Statistics for Business and Economics uses a similar, accessible approach found in The Basic Practice of Statistics but applies to the world of business and economics. With The Practice of Statistics for Business and Economics, instructors can help students develop a working knowledge of data production and interpretation in a business and economics context, giving them the practical tools they need to make data-informed, real-world business and economic decisions from the first day of class.
Applied Statistics For Business And Management Using Microsoft Excel
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Author : Linda Herkenhoff
language : en
Publisher: Springer Nature
Release Date : 2025-07-25
Applied Statistics For Business And Management Using Microsoft Excel written by Linda Herkenhoff and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
This book illustrates 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. The 2nd edition of 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
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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
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Author : Andrew F. Siegel
language : en
Publisher: Academic Press
Release Date : 2016-07-29
Practical Business Statistics written by Andrew F. Siegel and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-29 with Mathematics categories.
Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details. - Provides users with a conceptual, realistic, and matter-of-fact approach to managerial statistics - Offers an accessible approach to teach present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand concepts and to interpret results - Features updated examples and graphics (200+ figures) to illustrate important applied uses and current business trends - Includes robust ancillary instructional materials such as an instructor's manual, lecture slides, and data files to save you time when preparing for class
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-04-10
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 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