Cargando…

Excel 2019 for engineering statistics: a guide to solving practical problems

Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and pract...

Descripción completa

Detalles Bibliográficos
Autor principal: Quirk, Thomas J
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-39278-9
http://cds.cern.ch/record/2717231
_version_ 1780965596394946560
author Quirk, Thomas J
author_facet Quirk, Thomas J
author_sort Quirk, Thomas J
collection CERN
description Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel 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 engineering 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 features a wealth of new sample problems and solutions, as well as updated chapter content throughout.
id cern-2717231
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
publisher Springer
record_format invenio
spelling cern-27172312021-04-21T18:07:59Zdoi:10.1007/978-3-030-39278-9http://cds.cern.ch/record/2717231engQuirk, Thomas JExcel 2019 for engineering statistics: a guide to solving practical problemsMathematical Physics and MathematicsNewly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel 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 engineering 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 features a wealth of new sample problems and solutions, as well as updated chapter content throughout.Springeroai:cds.cern.ch:27172312020
spellingShingle Mathematical Physics and Mathematics
Quirk, Thomas J
Excel 2019 for engineering statistics: a guide to solving practical problems
title Excel 2019 for engineering statistics: a guide to solving practical problems
title_full Excel 2019 for engineering statistics: a guide to solving practical problems
title_fullStr Excel 2019 for engineering statistics: a guide to solving practical problems
title_full_unstemmed Excel 2019 for engineering statistics: a guide to solving practical problems
title_short Excel 2019 for engineering statistics: a guide to solving practical problems
title_sort excel 2019 for engineering statistics: a guide to solving practical problems
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-39278-9
http://cds.cern.ch/record/2717231
work_keys_str_mv AT quirkthomasj excel2019forengineeringstatisticsaguidetosolvingpracticalproblems