Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Excel 2013 for engineering statistics [electronic resource] : a guide to solving practical problems / Thomas J. Quirk.
ISBN
9783319235554 electronic book
3319235559 electronic book
9783319235547
3319235540
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (xv, 248 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-319-23555-4 doi
Call Number
TA340
Dewey Decimal Classification
519.5
Summary
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.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Excel for statistics.
Available in Other Form
Print version: 9783319235547
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.
