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Excel 2019 for biological and life sciences statistics: a guide to solving practical problems
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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-39281-9 http://cds.cern.ch/record/2717218 |
_version_ | 1780965593626705920 |
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author | Quirk, Thomas J Quirk, Meghan H Horton, Howard F |
author_facet | Quirk, Thomas J Quirk, Meghan H Horton, Howard F |
author_sort | Quirk, Thomas J |
collection | CERN |
description | 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. |
id | cern-2717218 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
publisher | Springer |
record_format | invenio |
spelling | cern-27172182021-04-21T18:08:01Zdoi:10.1007/978-3-030-39281-9http://cds.cern.ch/record/2717218engQuirk, Thomas JQuirk, Meghan HHorton, Howard FExcel 2019 for biological and life sciences statistics: a guide to solving practical problemsMathematical Physics and MathematicsNewly 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.Springeroai:cds.cern.ch:27172182020 |
spellingShingle | Mathematical Physics and Mathematics Quirk, Thomas J Quirk, Meghan H Horton, Howard F Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title | Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title_full | Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title_fullStr | Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title_full_unstemmed | Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title_short | Excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
title_sort | excel 2019 for biological and life sciences statistics: a guide to solving practical problems |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-030-39281-9 http://cds.cern.ch/record/2717218 |
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