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Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems de Thomas J. Quirk

Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems

Autor Thomas J. Quirk, Meghan Quirk, Howard Horton
en Limba Engleză Paperback – 3 sep 2013

Considerăm că Excel 2010 for Physical Sciences Statistics reprezintă un instrument de lucru esențial pentru studenții din ciclul de licență și practicienii care au nevoie de o metodă pragmatică pentru a gestiona analizele cantitative în științele fizice. Această ediție publicată de Springer se remarcă prin abordarea didactică progresivă, eliminând barierele tehnice pentru cei care nu sunt familiarizați cu programele de calcul sau care consideră statistica o disciplină dificilă. Găsim în acest volum o structură clară, care pornește de la concepte fundamentale precum media și deviația standard, avansând către generatorul de numere aleatorii, intervale de încredere și teste de ipoteză (One-Group și Two-Group t-Test). Finalul cărții este dedicat corelației și regresiei liniare simple, oferind astfel un parcurs complet pentru nevoile curriculare curente.

Spre deosebire de alte manuale teoretice, lucrarea semnată de Thomas J. Quirk, Meghan Quirk și Howard Horton mizează pe componenta vizuală, integrând 159 de ilustrații color care ghidează utilizatorul prin interfața software-ului. Această abordare este o constantă în opera autorului, Thomas J. Quirk dezvoltând o întreagă serie de ghiduri precum Excel 2019 for Engineering Statistics sau Excel 2019 for Biological and Life Sciences Statistics, adaptând aceeași metodologie riguroasă la diverse domenii de specialitate.

Considerăm acest volum o alternativă practică la Excel 2010 for Engineering Statistics pentru cursurile de laborator din facultățile de fizică sau chimie, având avantajul utilizării unor exemple și probleme specifice fenomenelor fizice, mai degrabă decât aplicațiilor tehnice de inginerie. Prezența exercițiilor la finalul fiecărui capitol și a unui test practic complet în apendice transformă lectura dintr-una pasivă într-un proces de învățare activă.

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Specificații

ISBN-13: 9783319006291
ISBN-10: 3319006290
Pagini: 170
Ilustrații: XVII, 248 p. 159 illus., 158 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.48 kg
Ediția:2013
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Upper undergraduate

De ce să citești această carte

Această carte se adresează studenților și cercetătorilor care doresc să stăpânească statistica aplicată fără a se pierde în demonstrații matematice complexe. Prin utilizarea unui program accesibil precum Excel, cititorul câștigă competențe imediate în prelucrarea datelor experimentale. Este un ghid de tip „cum să fac”, ideal pentru cei care preferă învățarea prin exercițiu și vizualizarea grafică a rezultatelor, oferind siguranța necesară în rezolvarea problemelor practice de laborator.

Despre autor

Thomas J. Quirk este un profesor și autor prolific, specializat în adaptarea capacităților software-ului Microsoft Excel pentru predarea statisticii în diverse domenii academice. Cu o experiență vastă în dezvoltarea materialelor educaționale, Quirk a publicat numeroase volume în colaborare cu Springer, acoperind discipline de la psihologie și educație până la inginerie și științe biologice. Abordarea sa se concentrează pe simplificarea conceptelor statistice pentru studenții care nu au o pregătire matematică avansată, transformând Excel-ul dintr-un simplu tabel de calcul într-un instrument analitic puternic. Lucrările sale sunt recunoscute pentru claritatea instrucțiunilor și orientarea către aplicații practice imediate.

Descriere scurtă

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical 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 science courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2010 for Physical Sciences 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 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 159 illustrations in color
Suitable for undergraduates or graduate students

Cuprins

​ ​Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- Random Number Generator.- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- One-Group t-Test for the Mean.- Two-Group t-Test of the Difference of the Means for Independent Groups​.- Correlation and Simple Linear Regression​.

Recenzii

“This book does, in general, a splendid job ofshowing the reader how to make statistical calculations with the aid of Excel.… The book is very useful in many other disciplines other than the physicalsciences. As I read through the many examples in the book, I found that theseapplications permeate a wide range of topics in a variety of disciplines.”(Jeffrey E. Jarrett, Technometrics,Vol. 56 (3), August, 2014) 

Notă biografică

At the beginning of his academic career, Prof. Thomas J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service.  He is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies.  He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings.  He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.  This is Professor Quirk’s ninth statistics book with Springer.
Meghan H.Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of NorthernColorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois.  She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize.  She has co-authored  an article on shortgrass steppe ecosystems in Photochemistry & Photobiology and has presented papers at the Shortgrass Steppe Symposium in Fort Collins, Colorado, the Long-term Ecological Research All Scientists Meeting in Estes Park, Colorado, and participated in the NSF Site Review of the Shortgrass Steppe Long Term Ecological Research in Nunn, Colorado.  She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado.
Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College.  He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota.  He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and is currently a District Wildlife Manager with the Colorado Division of Parks and Wildlife.

Textul de pe ultima copertă

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical 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.
Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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 159 illustrations in color.
·         Suitable for undergraduates or graduate students.
Professor. Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, as well as an M.B.A. from the University of Missouri-St. Louis.
Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado.
Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long-Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.

Caracteristici

Appendix B to test your knowledge at the end of the book. Answers appear in Appendix C This book purposely does not include a CD of Excel files. Instead, you’ll be shown how to create each Excel file yourself. In a work situation, your colleagues will not give you an Excel file. You will be expected to create your own. This book will give you ample practice in developing this important skill This book is a tool that can be used either by itself or along with any good statistics book Suitable for upper undergraduates or graduate students Includes 159 color screen shots so you can be sure you are performing Excel steps correctly Statistical theory and formulas are explained in clear language without bogging the reader down in mathematical fine points You will be told each step of the way, not only how to use Excel, but also why you are doing each step – so you can learn the techniques to apply Excel beyond this book You will learn both how to write statistical formulas and how to use drop-down menus to have Excel create formulas for you Each chapter includes specific objectives for each concept so you know the purpose of the Excel steps Each chapter presents key steps needed to solve practical science problems using Excel. In addition, three practice problems at the end of each chapter enable you to test your new knowledge. Answers to these problems appear in Appendix A A “Practice Test” is given in Includes supplementary material: sn.pub/extras