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Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems

✍ Scribed by Thomas J Quirk, Meghan Quirk, Howard Horton (auth.)


Publisher
Springer International Publishing
Year
2013
Tongue
English
Leaves
262
Edition
1
Category
Library

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✦ Synopsis


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 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Physical Sciences 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 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.

Includes 159 illustrations in color

Suitable for undergraduates or graduate students

✦ Table of Contents


Front Matter....Pages i-xvii
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-19
Random Number Generator....Pages 21-35
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 37-66
One-Group t-Test for the Mean....Pages 67-81
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 83-110
Correlation and Simple Linear Regression....Pages 111-152
Multiple Correlation and Multiple Regression....Pages 153-168
One-Way Analysis of Variance (ANOVA)....Pages 169-185
Back Matter....Pages 187-248

✦ Subjects


Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics, general


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