Excel 2019 for biological and life sciences statistics : a guide to solving practical problems / Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.

"Newly 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 biolo...

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Bibliographic Details
Main Authors: Quirk, Thomas J. (Author), Quirk, Meghan (Author), Horton, Howard F. (Author)
Format: Ebook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Edition:Second edition.
Series:Excel for statistics.
Subjects:
Online Access:Springer eBooks

MARC

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245 1 0 |a Excel 2019 for biological and life sciences statistics :  |b a guide to solving practical problems /  |c Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton. 
246 3 |a Excel twenty nineteen for biological and life sciences statistics 
250 |a Second edition. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2020] 
264 4 |c ©2020 
300 |a 1 online resource (xix, 244 pages) :  |b illustrations (some colour). 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Excel for statistics,  |x 2570-4605 
500 |a "Excel 2019 for Biological and Life Sciences: A Guide to Solving Practical Problems updates the Excel steps and screenshots from the previously published Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems, and it contains a number of important changes"--Page ix. 
504 |a Includes bibliographical references and index. 
505 0 |a Preface -- 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 -- Multiple correlation and multiple regression -- 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. 
520 |a "Newly 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"--Page 4 of cover. 
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650 0 |a Mathematical statistics.  |9 320547 
700 1 |a Quirk, Meghan,  |e author.  |9 860824 
700 1 |a Horton, Howard F.,  |e author.  |9 860823 
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