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Statistics For Managers Using Microsoft Excel 8th Edition


Statistics For Managers Using Microsoft Excel 8th Edition
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Statistics For Managers Using Microsoft Excel 8th Edition


Statistics For Managers Using Microsoft Excel 8th Edition
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Author : David M.
language : en
Publisher: Pearson Education India
Release Date : 2017

Statistics For Managers Using Microsoft Excel 8th Edition written by David M. and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


As Business Statistics evolves and becomes an increasingly important part of one’s business education, how business statistics gets taught and what gets taught becomes all the more important. Th eighth edition of Statistics for Managers Using Microsoft Ex



Statistics For Managers Using Microsoft Excel Global Edition


Statistics For Managers Using Microsoft Excel Global Edition
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Author : David M. Levine
language : en
Publisher:
Release Date : 2016-12-22

Statistics For Managers Using Microsoft Excel Global Edition written by David M. Levine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-22 with categories.


For undergraduate business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab from Pearson is the world's leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed.



Data Mining For Business Analytics


Data Mining For Business Analytics
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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-14

Data Mining For Business Analytics written by Galit Shmueli 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 2019-10-14 with Mathematics categories.


Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R



Statistics For Managers


Statistics For Managers
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Author : Chidanand S. Mujawar
language : en
Publisher:
Release Date : 2011-09-01

Statistics For Managers written by Chidanand S. Mujawar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with categories.


Statistics for Managers is a comprehensive text for MBA students. It provides an exhaustive understanding of the subject. The understanding of statistical language has been made easier with the help of numerous review question and graded exercises. Topics covered include statistics, probability, sampling distribution, testing of hypothesis and inferences. Key features: Each topic is treated in a systematic and logical manner. Each unit includes a variety of solved problems and a separate question bank with multiple choice problems. Includes worked out examples drawn from various university examination.



Financial Analysis With Microsoft Excel


Financial Analysis With Microsoft Excel
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Author : Timothy R. Mayes
language : en
Publisher:
Release Date : 1996

Financial Analysis With Microsoft Excel written by Timothy R. Mayes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business categories.


Start mastering the tool that finance professionals depend upon every day. FINANCIAL ANALYSIS WITH MICROSOFT EXCEL covers all the topics you'll see in a corporate finance course: financial statements, budgets, the Market Security Line, pro forma statements, cost of capital, equities, and debt. Plus, it's easy-to-read and full of study tools that will help you succeed in class.



Statistics For Management


Statistics For Management
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Author : Richard I. Levin
language : en
Publisher: Pearson Education India
Release Date : 2008-12

Statistics For Management written by Richard I. Levin and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12 with Business & Economics categories.


Statistics For Management is a textbook of business statistics that helps students grasp the fundamentals of the subject in a simple and easy manner.Statistics For Management is a detailed textbook on the subject of business statistics. It seeks to dispel the seeming complexity of the subject by presenting the concepts in a lucid and visually demonstrative manner. The book begins with an overview of business statistics. Subsequent chapters cover topics like tables and graphs, probability, sampling, estimation, testing hypotheses, and quality and quality control. The last few chapters present concepts like chi-square, analysis of variance, simple regression and multiple regression, non-parametric methods, time series and forecasting, and index numbers. The book ends with a chapter on decision theory. The concepts in the book are explained at length, and illustrative explanations are given precedence over complex mathematical notations. Also, each discussion is accompanied by examples that demonstrate one or more real world applications of the concepts. All the hypothesis tests are conducted using the standardized scale. Every section ends with three types of exercises for practice self-evaluative, basic, and application exercises. A very useful feature of the book is the Hints And Assumptions feature, which provides useful hints for solving the exercise problems and alerts the students about the commonly committed mistakes while solving them. Statistics For Management was published in 2011 by Pearson.



Probability And Statistics For Engineering And The Sciences


Probability And Statistics For Engineering And The Sciences
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Author : Jay Devore
language : en
Publisher: Cengage Learning
Release Date : 2007-01-26

Probability And Statistics For Engineering And The Sciences written by Jay Devore and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-26 with Mathematics categories.


This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Introduction To Financial Models For Management And Planning


Introduction To Financial Models For Management And Planning
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Author : James R. Morris
language : en
Publisher: CRC Press
Release Date : 2017-05-30

Introduction To Financial Models For Management And Planning written by James R. Morris and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-30 with Business & Economics categories.


A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they are put into practice. Introduction to Financial Models for Management and Planning, Second Edition enables professionals and students to learn how to develop and use computer-based models for financial planning. This volume provides critical tools for the financial toolbox, then shows how to use them tools to build successful models.



Statistics For Managers Using Microsoft Excel


Statistics For Managers Using Microsoft Excel
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Author : David M. Levine
language : en
Publisher: Pearson
Release Date : 2016-06-21

Statistics For Managers Using Microsoft Excel written by David M. Levine and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-21 with Business & Economics categories.


For undergraduate business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. Also available with MyStatLab™ MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, 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 both the physical text and MyLab & Mastering, search for: 0134465970 / 9780134465975 Statistics for Managers Using Microsoft Excel Plus MyStatLab with Pearson eText -- Access Card Package, 8/e Package consists of: 0134173058 / 9780134173054 Statistics for Managers Using Microsoft Excel 032192147X / 9780321921475 MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyStatLab for Business Statistics Sticker



Principles Of Managerial Statistics And Data Science


Principles Of Managerial Statistics And Data Science
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Author : Roberto Rivera
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-31

Principles Of Managerial Statistics And Data Science written by Roberto Rivera 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 2020-01-31 with Mathematics categories.


Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.