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Cool Excel Sh*t.
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ISBN: 1615471596 Year: 2021 Publisher: Chicago : Holy Macro! Books,

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Cool Excel Sh*t is designed with the Excel guru in mind, introducing advanced, creative solutions and hacks for the software's most challenging problems. Through a series of more than 50 techniques, formulas, dynamic arrays, and VBA macros, this guide details processes that may be used in any application and across all disciplines. Includes a section on techniques using Dynamic Arrays in Excel.


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Introduction to biostatistical applications in health research with Microsoft Office Excel and R
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ISBN: 1119722624 1119722683 1119722640 9781119722625 9781119722687 9781119722649 Year: 2021 Publisher: Hoboken, New Jersey : Wiley,

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"Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel, 2e provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. Some updates for this new edition: The flowcharts from the first edition will be expanded to include indicators of the assumptions of each procedure. This will be added to facilitate selection of a statistical approach to analyze a particular set of data. The existing twelve chapters describing statistical principals and statistical methods will be maintained. They have been proven to provide students with a clear and useful approach to the subject in use as a textbook and workbook in a graduate statistics course. An additional chapter will be added to the book that discusses the assumptions of statistical procedures. This chapter will describe each assumption, tell how to determine if the assumption is appropriate for a particular set of data, and provide solutions to situations in which the assumptions are not me by the data set. This chapter will provide students and researchers with the information they need to select an appropriate method of analysis and to apply that method to a set of data. The workbook will include a corresponding chapter that will provide students with practice identifying assumptions, testing for their satisfaction, and applying solutions to violation of assumptions. R will also be included to broaden the appeal and audience for the book"--


Book
Community ecology : analytical methods using R and Excel
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ISBN: 9781907807619 9781907807626 1907807616 1907807624 Year: 2014 Publisher: Exeter: Pelagic publishing,

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Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R


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Excel 2010 for Social Science Statistics : A Guide to Solving Practical Problems
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ISBN: 1461436362 1461436370 Year: 2012 Publisher: New York, NY : Springer New York : Imprint: Springer,

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This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems.  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 social science courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2010 for Social Science Statistics: A Guide to Solving Practical Statistics Problems is the first book to capitalize on these improvements by teaching students and managers 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 social science 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.  Includes 164 Illustrations in color.


Book
Excel 2007 for Social Science Statistics : A Guide to Solving Practical Problems
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ISBN: 1461436214 1461436222 Year: 2012 Publisher: New York, NY : Springer New York : Imprint: Springer,

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This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems.  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 social science courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers 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 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. .


Book
Pro Excel financial modeling : building models for technology startups
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ISBN: 1430218983 9786612292781 1282292781 1430218991 9781282292789 9781430218999 Year: 2009 Publisher: Berkeley, Calif. : Apress,

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Learn the business thinking behind financial modeling and execute what you know effectively using Microsoft Excel. Many believe that sales and profitability projections shown in financial models are the keys to success in attracting investors. The truth is that investors will come up with their own projections. The investor wants to understand the assumptions, structure, and relationships within the modeling of a startup. If the investor is satiated, the entrepreneur has successfully demonstrated a complete understanding of the business side of the enterprise. Pro Excel Financial Modeling provides the keys necessary to learn this thinking and to build the models that will illustrate it. Step–by–step approach to developing financial models in Excel Extensive case studies and Excel templates provided.

Keywords

Business -- Computer programs. --- Electronic spreadsheets -- Computer programs. --- Electronic spreadsheets. --- Finance -- Mathematical models. --- Microsoft Excel (Computer file). --- Finance --- Engineering & Applied Sciences --- Business & Economics --- Computer Science --- Financial Management & Planning --- Mathematical models --- Information Technology --- Computer Science (Hardware & Networks) --- Mathematical models. --- Microsoft Excel (Computer file) --- Microsoft Excel for the Macintosh --- Microsoft Excel for Windows --- Excel (Computer file) --- Excel for Windows --- Microsoft Excel for Windows 95 --- Excel 97 --- Microsoft Excel 97 for Windows --- Excel 2000 --- Excel 2000 for Windows 95 --- Microsoft Excel 2002 --- Microsoft Office Excel 2003 --- Excel 2003 --- Microsoft Excel 2007 --- Excel 2007 --- Excel 2010 --- Microsoft Excel 2013 --- Excel 2013 --- Computer science. --- Computer Science. --- Computer Science, general. --- Informatics --- Science --- Microsoft software. --- Microsoft .NET Framework. --- Information systems. --- Microsoft and .NET. --- Information Systems and Communication Service. --- Computer software --- Microsoft Excel 2016 --- Excel 2016 --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace


Book
Excel 2010 for Educational and Psychological Statistics : A Guide to Solving Practical Problems
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ISBN: 1461420709 1461420717 Year: 2012 Publisher: New York, NY : Springer New York : Imprint: Springer,

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This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems in education and psychology.  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 practitioners, 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, Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and practitioners 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 problems in education and psychology.  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.   Includes 163 illustrations in color.

Keywords

Education -- Research -- Data processing. --- Educational statistics -- Computer programs. --- Electronic spreadsheets -- Computer programs. --- Microsoft Excel (Computer file). --- Psychometrics -- Computer programs. --- Educational statistics --- Education --- Psychometrics --- Electronic spreadsheets --- Commerce --- Mathematics --- Social Sciences --- Physical Sciences & Mathematics --- Business & Economics --- Marketing & Sales --- Mathematical Statistics --- Theory & Practice of Education --- Computer programs --- Data processing --- Research --- Computer programs. --- Data processing. --- Microsoft Excel (Computer file) --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Children --- Education, Primitive --- Education of children --- Human resource development --- Instruction --- Pedagogy --- Schooling --- Students --- Youth --- Measurement --- Scaling --- Statistical methods --- Microsoft Excel for the Macintosh --- Microsoft Excel for Windows --- Excel (Computer file) --- Excel for Windows --- Microsoft Excel for Windows 95 --- Excel 97 --- Microsoft Excel 97 for Windows --- Excel 2000 --- Excel 2000 for Windows 95 --- Microsoft Excel 2002 --- Microsoft Office Excel 2003 --- Excel 2003 --- Microsoft Excel 2007 --- Excel 2007 --- Excel 2010 --- Microsoft Excel 2013 --- Excel 2013 --- Statistics. --- Statistics, general. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistics and Computing/Statistics Programs. --- Psychological tests --- Scaling (Social sciences) --- Civilization --- Learning and scholarship --- Mental discipline --- Schools --- Teaching --- Training --- Statistics --- Methodology --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics . --- Microsoft Excel 2016 --- Excel 2016

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