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Applied Mathematics With Microsoft Excel
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Book Synopsis Applied Mathematics with Microsoft Excel by : Chester Piascik
Download or read book Applied Mathematics with Microsoft Excel written by Chester Piascik and published by Brooks Cole. This book was released on 2001 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed as a supplement to any combined Finite Mathematics/Applied Calculus text when the instructor wants to use Excel in the course, Piascik's useful manual illustrates key topics, through the use of Microsoft Excel. Explanations of Excel instructions and formulas reinforce the underlying mathematical concepts. The author encourages students to be active learners, asking them to verbalize and verify the mathematical concepts behind spreadsheet results.
Book Synopsis Mathematics for Business, Science, and Technology by : Steven T. Karris
Download or read book Mathematics for Business, Science, and Technology written by Steven T. Karris and published by Orchard Publications. This book was released on 2003 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is written for working professionals seeking to enhance their math related knowledge. You will need this text to brush up on math with practical and everyday applications. Contains many real-world examples on probability and optimization methods supplemented with computer applications using Excel and/or MATLAB.
Book Synopsis Applied Statistics for Business and Management using Microsoft Excel by : Linda Herkenhoff
Download or read book Applied Statistics for Business and Management using Microsoft Excel written by Linda Herkenhoff and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mathematical Modeling Using Microsoft Excel by : Nelson L. Emmons, Jr.
Download or read book Mathematical Modeling Using Microsoft Excel written by Nelson L. Emmons, Jr. and published by . This book was released on 1997-06-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The entry into higher mathematics begins with calculus. Rarely, however, does the calculus student recognize the full power and applications for the mathematical concepts and tools that are taught. Frank R. Giordano, Maurice D. Weir, and William P. Fox produced A First Course in Mathematical Modeling a unique text designed to address this shortcoming and teach the student how to identify, formulate, and interpret the real world in mathematical terms. Mathematical modeling is the application of mathematics to explain or predict real world behavior. Often real world data are collected and used to veriiy or validate (and sometimes formulate) a hypothetical model or scenario. Inevitably, in such situations, it is desirable and necessary to have computational support available to analyze the large amounts of data. Certainly this eliminates the tedious and inefficient hand calculations necessary to validate and apply the model (assuming the calculations can even be reasonably done by hand). The primary purpose of Mathematical Modeling Using Microsoft Excel is to provide instructions and examples for using the spreadsheet program Microsoft Excel to support a wide range of mathematical modeling applications. Microsoft Excel is a powerful spreadsheet program which allows the user to organize numerical data into an easy to follow on-screen grid of columns and rows. Our version of Excel is based on Microsoft Windows. In this text, it is not the intent to teach mathematical modeling, but rather to provide computer support for most of the modeling topics covered in A First Course in Mathematical Modeling. The examples given here are support that text as well.
Book Synopsis Ssm-Calc Mgr/Life/Ss by : Professor Tan
Download or read book Ssm-Calc Mgr/Life/Ss written by Professor Tan and published by . This book was released on 2002-08 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete solutions for all of the odd numbered exercises.
Book Synopsis Business Math Using Excel by : Sharon Burton
Download or read book Business Math Using Excel written by Sharon Burton and published by South-Western Pub. This book was released on 2005 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Math Using Excel prepares students for today's jobs by incorporating math concepts using two approaches. One approach is to teach the concepts using the traditional method of calculating. The second approach is to teach those same concepts showing how Excel would make the calculations. Business Math Using Excel helps students create formulas and use Excel's functions to make it the powerful application tool it is meant to be, and develop a high level of math skill.
Book Synopsis Mathematical Modeling Using Microsoft Excel by : Nelson L. Emmons
Download or read book Mathematical Modeling Using Microsoft Excel written by Nelson L. Emmons and published by . This book was released on 1997 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The entry into higher mathematics begins with calculus. Rarely, however, does the calculus student recognize the full power and applications for the mathematical concepts and tools that are taught. Frank R. Giordano, Maurice D. Weir, and William P. Fox produced A First Course in Mathematical Modeling a unique text designed to address this shortcoming and teach the student how to identify, formulate, and interpret the real world in mathematical terms. Mathematical modeling is the application of mathematics to explain or predict real world behavior. Often real world data are collected and used to veriiy or validate (and sometimes formulate) a hypothetical model or scenario. Inevitably, in such situations, it is desirable and necessary to have computational support available to analyze the large amounts of data. Certainly this eliminates the tedious and inefficient hand calculations necessary to validate and apply the model (assuming the calculations can even be reasonably done by hand). The primary purpose of Mathematical Modeling Using Microsoft Excel is to provide instructions and examples for using the spreadsheet program Microsoft Excel to support a wide range of mathematical modeling applications. Microsoft Excel is a powerful spreadsheet program which allows the user to organize numerical data into an easy to follow on-screen grid of columns and rows. Our version of Excel is based on Microsoft Windows. In this text, it is not the intent to teach mathematical modeling, but rather to provide computer support for most of the modeling topics covered in A First Course in Mathematical Modeling. The examples given here are support that text as well.
Book Synopsis Finite Mathematics with Microsoft Excel by : Chester Piascik
Download or read book Finite Mathematics with Microsoft Excel written by Chester Piascik and published by Brooks Cole. This book was released on 1999 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This supplementary text illustrates key topics in Finite Mathematics, through the use of Microsoft Excel. Explanations of Excel instructions and formulas reinforce underlying mathematical concepts. The author encourages students to be active learners, asking them to verbalize and verify the mathematical concepts behind spreadsheet results.
Book Synopsis Mastering Financial Mathematics in Microsoft Excel 2013 by : Alastair Day
Download or read book Mastering Financial Mathematics in Microsoft Excel 2013 written by Alastair Day and published by FT Press. This book was released on 2015-09-24 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully updated and compliant with Excel 2013, this clearly explains the basic calculations for mathematical finance, backed up with simple templates for further use and development, and a workbook with exercises and solutions at the end of each chapter. The examples used are relevant to both managers and students in the UK and overseas. New to this edition Updated glossary of key terms Functions list in English and Euro languages Continuity check on all formats, layouts and charts More worked examples Additional exercises at the end of each chapter to help build models Templates and models available online
Book Synopsis Excel 2019 for Engineering Statistics by : Thomas J. Quirk
Download or read book Excel 2019 for Engineering Statistics written by Thomas J. Quirk and published by Springer Nature. This book was released on 2020-04-09 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applied Statistics with Microsoft Excel by : Gerald Keller
Download or read book Applied Statistics with Microsoft Excel written by Gerald Keller and published by Duxbury Resource Center. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gerald Keller's new APPLIED STATISTICS WITH MICROSOFT® EXCEL integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading STATISTICS FOR MANAGEMENT AND ECONOMICS, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.
Book Synopsis Mathematical Modeling with Excel by : Brian Albright
Download or read book Mathematical Modeling with Excel written by Brian Albright and published by CRC Press. This book was released on 2019-11-25 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical section begins with a general description of the scenario being modeled. The model is then built using the appropriate mathematical tools. Then it is implemented and analyzed in Excel via step-by-step instructions. In the exercises, we ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.
Book Synopsis Excel 2016 for Engineering Statistics by : Thomas J. Quirk
Download or read book Excel 2016 for Engineering Statistics written by Thomas J. Quirk and published by Springer. This book was released on 2016-07-19 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering 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 engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Engineering 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 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.
Book Synopsis Modelling Physics with Microsoft Excel by : Bernard V Liengme
Download or read book Modelling Physics with Microsoft Excel written by Bernard V Liengme and published by Morgan & Claypool Publishers. This book was released on 2014-10-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates some of the ways in which Microsoft Excel® may be used to solve numerical problems in the field of physics. But why use Excel in the first place? Certainly, Excel is never going to out-perform the wonderful symbolic algebra tools tha
Book Synopsis Excel 2013 for Engineering Statistics by : Thomas J. Quirk
Download or read book Excel 2013 for Engineering Statistics written by Thomas J. Quirk and published by Springer. This book was released on 2015-10-15 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering 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 engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Engineering 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 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.
Book Synopsis Applied Statistics for Engineers and Scientists by : David M. Levine
Download or read book Applied Statistics for Engineers and Scientists written by David M. Levine and published by Pearson. This book was released on 2001 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in Probability and Statistics. This applied text for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important to students in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software (Microsoft Excel and Minitab) as well as in-depth coverage of quality and experimental design complete this treatment of statistics.
Book Synopsis Microsoft Excel Manual for Waner and Costenoble's Finite Mathematics by : Stefan Waner
Download or read book Microsoft Excel Manual for Waner and Costenoble's Finite Mathematics written by Stefan Waner and published by . This book was released on 2000-12 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This distinctive, text-specific manual uses Excel instructions and formulas to reinforce vital concepts in applied calculus.
