LEADER 04087nam 22005655 450 001 996418265303316 005 20200703025917.0 010 $a3-030-39281-3 024 7 $a10.1007/978-3-030-39281-9 035 $a(CKB)4100000010770894 035 $a(DE-He213)978-3-030-39281-9 035 $a(MiAaPQ)EBC6135216 035 $a(PPN)243227396 035 $a(EXLCZ)994100000010770894 100 $a20200316d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2019 for Biological and Life Sciences Statistics$b[electronic resource] $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton 205 $a2nd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIX, 244 p. 165 illus., 162 illus. in color.) 225 1 $aExcel for Statistics,$x2570-4605 311 $a3-030-39280-5 327 $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. 330 $aNewly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Biological and Life Sciences Statistics capitalizes on these improvements by teaching students and professionals how to apply Excel 2019 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand biological and life science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition offers a wealth of new practice problems and solutions, as well as updated chapter content throughout. 410 0$aExcel for Statistics,$x2570-4605 606 $aStatistics  606 $aBiostatistics 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 615 0$aStatistics . 615 0$aBiostatistics. 615 14$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aBiostatistics. 676 $a570.15195 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 702 $aQuirk$b Meghan H$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHorton$b Howard F$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418265303316 996 $aExcel 2019 for Biological and Life Sciences Statistics$91947537 997 $aUNISA