001435774 000__ 04289cam\a2200553\i\4500
001435774 001__ 1435774
001435774 003__ OCoLC
001435774 005__ 20230309003952.0
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001435774 020__ $$a9783030662776$$q(electronic bk.)
001435774 020__ $$a3030662772$$q(electronic bk.)
001435774 020__ $$z9783030662769
001435774 020__ $$z3030662764
001435774 0247_ $$a10.1007/978-3-030-66277-6$$2doi
001435774 035__ $$aSP(OCoLC)1246141210
001435774 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dSFB$$dOCLCQ
001435774 049__ $$aISEA
001435774 050_4 $$aGE45.S73
001435774 08204 $$a333.7072/7$$223
001435774 1001_ $$aQuirk, Thomas J.,$$eauthor.
001435774 24510 $$aExcel 2019 for environmental sciences statistics :$$ba guide to solving practical problems /$$cThomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
001435774 250__ $$aSecond edition.
001435774 264_1 $$aCham :$$bSpringer,$$c[2021]
001435774 300__ $$a1 online resource
001435774 336__ $$atext$$btxt$$2rdacontent
001435774 337__ $$acomputer$$bc$$2rdamedia
001435774 338__ $$aonline resource$$bcr$$2rdacarrier
001435774 4901_ $$aExcel for statistics,$$x2570-4605
001435774 504__ $$aIncludes bibliographical references and index.
001435774 5050_ $$aPreface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.
001435774 506__ $$aAccess limited to authorized users.
001435774 520__ $$aThis book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
001435774 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 15, 2021).
001435774 63000 $$aMicrosoft Excel (Computer file)
001435774 650_0 $$aEnvironmental sciences$$xStatistical methods.
001435774 650_6 $$aSciences de l'environnement$$xMéthodes statistiques.
001435774 655_0 $$aElectronic books.
001435774 7001_ $$aQuirk, Meghan,$$eauthor.
001435774 7001_ $$aHorton, Howard F.,$$eauthor.
001435774 77608 $$iPrint version:$$aQuirk, Thomas J.$$tExcel 2019 for environmental sciences statistics.$$bSecond edition.$$dCham : Springer, [2021]$$z3030662764$$z9783030662769$$w(OCoLC)1223068193
001435774 830_0 $$aExcel for statistics.$$x2570-4605
001435774 852__ $$bebk
001435774 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66277-6$$zOnline Access$$91397441.1
001435774 909CO $$ooai:library.usi.edu:1435774$$pGLOBAL_SET
001435774 980__ $$aBIB
001435774 980__ $$aEBOOK
001435774 982__ $$aEbook
001435774 983__ $$aOnline
001435774 994__ $$a92$$bISE