東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Excel 2013 for engineering statistic...

Quirk, Thomas J.

Linked to FindBook

Google Book

Amazon

博客來

Excel 2013 for engineering statistics = a guide to solving practical problems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Excel 2013 for engineering statistics/ by Thomas J. Quirk.
Reminder of title:	a guide to solving practical problems /
Author:	Quirk, Thomas J.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xv, 248 p. :ill., digital ;24 cm.
[NT 15003449]:	Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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.
Contained By:	Springer eBooks
Subject:	Engineering - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-23555-4
ISBN:	9783319235554

Excel 2013 for engineering statistics = a guide to solving practical problems /
Quirk, Thomas J.

Excel 2013 for engineering statisticsa guide to solving practical problems /[electronic resource] :by Thomas J. Quirk. - Cham :Springer International Publishing :2015. - xv, 248 p. :ill., digital ;24 cm. - Excel for statistics. - Excel for statistics..

Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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.

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, 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. However, Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers 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.

ISBN: 9783319235554

Standard No.: 10.1007/978-3-319-23555-4doiSubjects--Topical Terms:

646559
Engineering
--Statistical methods.

LC Class. No.: TA340

Dewey Class. No.: 519.5

Excel 2013 for engineering statistics = a guide to solving practical problems /
LDR:02955nmm a2200337 a 4500 001 2013547
003 DE-He213
005 20160415132923.0
006 m d
007 cr nn 008maaau
008 160518s2015 gw s 0 eng d
020 $a 9783319235554 $q (electronic bk.)
020 $a 9783319235547 $q (paper)
024 7 $a 10.1007/978-3-319-23555-4 $2 doi
035 $a 978-3-319-23555-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TA340
072 7 $a PBT $2 bicssc
072 7 $a PD $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a TA340 $b .Q8 2015
100 1 $a Quirk, Thomas J. $3 2057153
245 1 0 $a Excel 2013 for engineering statistics $h [electronic resource] : $b a guide to solving practical problems / $c by Thomas J. Quirk.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xv, 248 p. : $b ill., digital ; $c 24 cm.
490 1 $a Excel for statistics
505 0 $a Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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.
520 $a This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, 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. However, Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers 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.
650 0 $a Engineering $x Statistical methods. $3 646559
650 0 $a Statistics. $3 517247
650 0 $a Applied mathematics. $3 2122814
650 0 $a Engineering mathematics. $3 516847
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 890892
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Excel for statistics. $3 2111718
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23555-4
950 $a Mathematics and Statistics (Springer-11649)