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Excel 2019 for environmental science...

Quirk, Thomas J.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Excel 2019 for environmental sciences statistics/ by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
Reminder of title:	a guide to solving practical problems /
Author:	Quirk, Thomas J.
other author:	Quirk, Meghan H.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvii, 250 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Environmental sciences - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-030-66277-6
ISBN:	9783030662776

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

Excel 2019 for environmental 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. - xvii, 250 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 environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental 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 environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental 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 environmental 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: 9783030662776

Standard No.: 10.1007/978-3-030-66277-6doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

566303
Environmental sciences
--Statistical methods.

LC Class. No.: GE45.S73 / Q575 2021

Dewey Class. No.: 333.70727

Excel 2019 for environmental sciences statistics = a guide to solving practical problems /
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245 1 0 $a Excel 2019 for environmental sciences statistics $h [electronic resource] : $b a guide to solving practical problems / $c by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 250 p. : $b ill., digital ; $c 24 cm.
490 1 $a Excel for statistics, $x 2570-4605
505 0 $a 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.
520 $a This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental 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 environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental 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 environmental 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.
630 0 0 $a Microsoft Excel (Computer file) $3 543656 $3 543656
650 0 $a Environmental sciences $x Statistical methods. $3 566303
650 1 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Environmental Science and Engineering. $3 1569104
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
700 1 $a Quirk, Meghan H. $3 2163021
700 1 $a Horton, Howard F. $3 2132167
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Excel for statistics. $3 2111718
856 4 0 $u https://doi.org/10.1007/978-3-030-66277-6
950 $a Mathematics and Statistics (SpringerNature-11649)