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Excel 2019 for physical sciences sta...

Quirk, Thomas J.

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Excel 2019 for physical sciences statistics = a guide to solving practical problems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Excel 2019 for physical sciences statistics/ by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
其他題名:	a guide to solving practical problems /
作者:	Quirk, Thomas J.
其他作者:	Quirk, Meghan H.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xix, 242 p. :ill., digital ;24 cm.
內容註:	Preface -- 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 Testing -- 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.
Contained By:	Springer Nature eBook
標題:	Statistics. -
電子資源:	https://doi.org/10.1007/978-3-030-63238-0
ISBN:	9783030632380

Excel 2019 for physical sciences statistics = a guide to solving practical problems /
Quirk, Thomas J.

Excel 2019 for physical sciences statisticsa guide to solving practical problems /[electronic resource] :by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton. - Second edition. - Cham :Springer International Publishing :2021. - xix, 242 p. :ill., digital ;24 cm. - Excel for statistics,2570-4605. - Excel for statistics..

Preface -- 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 Testing -- 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.

This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical 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.

ISBN: 9783030632380

Standard No.: 10.1007/978-3-030-63238-0doiSubjects--Topical Terms:

517247
Statistics.

LC Class. No.: Q180.55.S7 / Q575 2021

Dewey Class. No.: 519.5

Excel 2019 for physical sciences statistics = a guide to solving practical problems /
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520 $a This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical 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.
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