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Epub An Introduction To Statistics Using Microsoft Excel


Epub An Introduction To Statistics Using Microsoft Excel
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Epub An Introduction To Statistics Using Microsoft Excel


Epub An Introduction To Statistics Using Microsoft Excel
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Author : Dan Remenyi
language : en
Publisher: Academic Conferences Limited
Release Date : 2011-01-01

Epub An Introduction To Statistics Using Microsoft Excel written by Dan Remenyi and has been published by Academic Conferences Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Electronic books categories.


This book explains the statistical concepts and then uses Microsoft Excel functions to illustrate how to get results using the appropriate techniques which will help researchers directly with their research.



An Introduction To Statistics Using Microsoft Excel


An Introduction To Statistics Using Microsoft Excel
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Author : D. Remenyi
language : en
Publisher: Academic Conferences Limited
Release Date : 2010

An Introduction To Statistics Using Microsoft Excel written by D. Remenyi and has been published by Academic Conferences Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Electronic spreadsheets categories.


To help new researchers use statistics from simple descriptive statistics through to the power of inferential statistics. The book is a step by step guide which makes no assumptions about prior knowledge of the subject. There are many worked examples and appropriate diagrams and figures. As Excel functions are used in the exploration of statistics very few mathematical equations are needed. The book contains numerous self tests, exercises and assignments and appropriate solutions are available on the web. This makes the book both student and teacher friendly.



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.



An Introduction To Statistics Using Microsoft Excel


An Introduction To Statistics Using Microsoft Excel
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Author : Dan Remenyi
language : en
Publisher: UJ Press
Release Date : 2022-01-01

An Introduction To Statistics Using Microsoft Excel written by Dan Remenyi and has been published by UJ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Reference categories.


A significant amount of academic research his conducted using quantitative research methods. In many universities large and expensive statistical software has been acquired. However much of this software requires a considerable amount of training before researchers are capable of using it correctly and this can cause difficulties. Many academic researchers are surprised by just how much analytical work can be done using the ubiquitous Microsoft Excel software. This book presents a course on the use of statistics in academic research starting with simple descriptive techniques and working through to sophisticated inferential methods. A step-by-step approach has been taken and has been described by users of this book as similar to having the teacher standing by you as you learn about some of the sophisticated methods of handling and understanding data. Readers of this book have my best wishes in achieving their objectives through their work with academic research.



Microsoft Excel Data Analysis And Business Modeling Office 2021 And Microsoft 365


Microsoft Excel Data Analysis And Business Modeling Office 2021 And Microsoft 365
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Author : Wayne Winston
language : en
Publisher: Microsoft Press
Release Date : 2021-12-17

Microsoft Excel Data Analysis And Business Modeling Office 2021 And Microsoft 365 written by Wayne Winston and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Computers categories.


Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook



Excel Data Analysis


Excel Data Analysis
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Author : Hector Guerrero
language : en
Publisher: Springer
Release Date : 2018-12-14

Excel Data Analysis written by Hector Guerrero and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Business & Economics categories.


This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.



Introducing Microsoft Power Bi


Introducing Microsoft Power Bi
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Author : Alberto Ferrari
language : en
Publisher:
Release Date : 2016

Introducing Microsoft Power Bi written by Alberto Ferrari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Business intelligence categories.




Statistical Analysis


Statistical Analysis
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Author : Conrad Carlberg
language : en
Publisher: Que Publishing
Release Date : 2014-04-04

Statistical Analysis written by Conrad Carlberg and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Business & Economics categories.


Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts



Introductory Statistics 2e


Introductory Statistics 2e
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Author : Barbara Illowsky
language : en
Publisher:
Release Date : 2023-12-13

Introductory Statistics 2e written by Barbara Illowsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-13 with Mathematics categories.


Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.



Microsoft Excel 2019 Data Analysis And Business Modeling


Microsoft Excel 2019 Data Analysis And Business Modeling
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Author : Wayne Winston
language : en
Publisher: Microsoft Press
Release Date : 2019-03-28

Microsoft Excel 2019 Data Analysis And Business Modeling written by Wayne Winston and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with Computers categories.


Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros