<p><span>This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published </span><span>Excel 2016 for Physical Sciences Statistics</span><span>, this book is a step-by-step, exercise-driven guide for students and practitione
Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems
β Scribed by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 258
- Series
- Excel for Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2013 for Physical Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isnβt the readerβs 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 physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Physical 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.
Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical 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.
β¦ Table of Contents
Front Matter....Pages i-xv
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-20
Random Number Generator....Pages 21-34
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 35-63
One-Group t-Test for the Mean....Pages 65-78
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 79-106
Correlation and Simple Linear Regression....Pages 107-152
Multiple Correlation and Multiple Regression....Pages 153-169
One-Way Analysis of Variance (ANOVA)....Pages 171-187
Back Matter....Pages 189-246
β¦ Subjects
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences;Mathematical Applications in the Physical Sciences;Computer Appl. in Social and Behavioral Sciences
π SIMILAR VOLUMES
<p><p>This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isnβt your s
<p><p>This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isnβt your s
<p>This book shows the is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isnβt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is
<p><p>This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published <i>Excel 2013 for Social Sciences Statistics</i>, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel
<p><p>This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published <i>Excel 2013 for Environmental Sciences Statistics</i>, this book is a step-by-step exercise-driven guide for students and practitioners who need t