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Can I read Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics) on EtoBox?

Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics) by Thomas J. Quirk (auth.) is a nonfiction available to read on EtoBox.

What is Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics) about?

This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book 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 isnℓ́ℓt 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 2016 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 ar

Who reads Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Thomas J. Quirk (auth.)
Publisher
Springer International Publishing : Imprint : Springer
Published
2016
Language
EN
ISBN
9783319391823
Category
nonfiction
Subjects
Mathematics, Engineering, Computer Science

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