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001436966 003__ OCoLC
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001436966 020__ $$a9783030632380
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001436966 020__ $$z9783030632397$$q(print)
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001436966 0247_ $$a10.1007/978-3-030-63238-0$$2doi
001436966 035__ $$aSP(OCoLC)1253415472
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001436966 049__ $$aISEA
001436966 050_4 $$aHF5548.4.M523$$bQ57 2021
001436966 08204 $$a519.5$$223
001436966 1001_ $$aQuirk, Thomas J.
001436966 24510 $$aExcel 2019 for physical sciences statistics :$$ba guide to solving practical problems /$$cby Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
001436966 250__ $$a2nd edition.
001436966 264_1 $$aCham :$$bSpringer,$$c2021.
001436966 300__ $$a1 online resource (XIX, 242 pages) :$$billustrations.
001436966 336__ $$atext$$btxt$$2rdacontent
001436966 337__ $$acomputer$$bc$$2rdamedia
001436966 338__ $$aonline resource$$bcr$$2rdacarrier
001436966 347__ $$atext file$$bPDF$$2rda
001436966 4901_ $$aExcel for Statistics
001436966 504__ $$aIncludes bibliographical references and index.
001436966 5050_ $$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.
001436966 506__ $$aAccess limited to authorized users.
001436966 520__ $$aThis book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical 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 physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical 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 physical 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.
001436966 63000 $$aMicrosoft Excel (Computer file)
001436966 650_0 $$aStatistics.
001436966 650_0 $$aMathematical physics.
001436966 650_0 $$aApplication software.
001436966 650_6 $$aPhysique mathématique.
001436966 650_6 $$aLogiciels d'application.
001436966 655_0 $$aElectronic books.
001436966 7001_ $$aQuirk, Meghan,$$eauthor.
001436966 7001_ $$aHorton, Howard F.,$$eauthor.
001436966 77608 $$iPrint version:$$z9783030632373
001436966 77608 $$iPrint version:$$z9783030632397
001436966 830_0 $$aExcel for statistics.
001436966 852__ $$bebk
001436966 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-63238-0$$zOnline Access$$91397441.1
001436966 909CO $$ooai:library.usi.edu:1436966$$pGLOBAL_SET
001436966 980__ $$aBIB
001436966 980__ $$aEBOOK
001436966 982__ $$aEbook
001436966 983__ $$aOnline
001436966 994__ $$a92$$bISE