國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Excel 2019 for environmental science...

Horton, Howard F.

Excel 2019 for environmental sciences statisticsa 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 environmental sciences statisticsby 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:	xvii, 250 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Environmental sciencesStatistical methods.
電子資源:	https://doi.org/10.1007/978-3-030-66277-6
ISBN:	9783030662776$q(electronic bk.)

Excel 2019 for environmental sciences statisticsa 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$q(electronic bk.)

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

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

186087
Environmental sciences
--Statistical methods.

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

Dewey Class. No.: 333.70727

Excel 2019 for environmental sciences statisticsa guide to solving practical problems /
LDR:03277nmm a2200349 a 4500 001 597972
003 DE-He213
005 20210730105426.0
006 m d
007 cr nn 008maaau
008 211019s2021 sz s 0 eng d
020 $a 9783030662776$q(electronic bk.)
020 $a 9783030662769$q(paper)
024 7 $a 10.1007/978-3-030-66277-6 $2 doi
035 $a 978-3-030-66277-6
040 $a GP $c GP
041 0 $a eng
050 4 $a GE45.S73 $b Q575 2021
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 333.70727 $2 23
090 $a GE45.S73 $b Q8 2021
100 1 $a Quirk, Thomas J. $3 563581
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.
250 $a Second edition.
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 190780
650 0 $a Environmental sciences $x Statistical methods. $3 186087
650 1 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 348605
650 2 4 $a Environmental Science and Engineering. $3 561067
650 2 4 $a Math. Appl. in Environmental Science. $3 274052
700 1 $a Quirk, Meghan H. $3 731786
700 1 $a Horton, Howard F. $3 712351
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Excel for statistics. $3 702895
856 4 0 $u https://doi.org/10.1007/978-3-030-66277-6
950 $a Mathematics and Statistics (SpringerNature-11649)