000930114 000__ 03582cam\a2200469Ia\4500 000930114 001__ 930114 000930114 005__ 20230306151436.0 000930114 006__ m\\\\\o\\d\\\\\\\\ 000930114 007__ cr\cn\nnnunnun 000930114 008__ 200321s2020\\\\sz\\\\\\ob\\\\001\0\eng\d 000930114 020__ $$a9783030392819 000930114 020__ $$a3030392813 000930114 035__ $$aSP(OCoLC)on1145600394 000930114 035__ $$aSP(OCoLC)1145600394 000930114 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dOCLCQ 000930114 049__ $$aISEA 000930114 050_4 $$aQH323.5 000930114 08204 $$a570.1/5195$$223 000930114 1001_ $$aQuirk, Thomas J. 000930114 24510 $$aExcel 2019 for biological and life sciences statistics :$$ba guide to solving practical problems /$$cThomas J. Quirk, Meghan H. Quirk, Howard F. Horton. 000930114 250__ $$aSecond edition. 000930114 260__ $$aCham :$$bSpringer International Publishing AG,$$c2020. 000930114 300__ $$a1 online resource (255 pages) 000930114 336__ $$atext$$btxt$$2rdacontent 000930114 337__ $$acomputer$$bc$$2rdamedia 000930114 338__ $$aonline resource$$bcr$$2rdacarrier 000930114 4901_ $$aExcel for statistics,$$x2570-4613 000930114 504__ $$aIncludes bibliographical references and index. 000930114 5050_ $$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 -- 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. 000930114 506__ $$aAccess limited to authorized users. 000930114 520__ $$aNewly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Biological and Life Sciences Statistics capitalizes on these improvements by teaching students and professionals how to apply Excel 2019 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 biological and life 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. This new edition offers a wealth of new practice problems and solutions, as well as updated chapter content throughout. 000930114 588__ $$aDescription based on print version record. 000930114 63000 $$aMicrosoft Excel (Computer file) 000930114 650_0 $$aBiometry. 000930114 7001_ $$aQuirk, Meghan. 000930114 7001_ $$aHorton, Howard F. 000930114 77608 $$iPrint version:$$aQuirk, Thomas J.$$tExcel 2019 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems.$$dCham : Springer International Publishing AG, ©2020$$z9783030392802 000930114 830_0 $$aExcel for statistics. 000930114 852__ $$bebk 000930114 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-39281-9$$zOnline Access$$91397441.1 000930114 909CO $$ooai:library.usi.edu:930114$$pGLOBAL_SET 000930114 980__ $$aEBOOK 000930114 980__ $$aBIB 000930114 982__ $$aEbook 000930114 983__ $$aOnline 000930114 994__ $$a92$$bISE