# Excel 2010 for Physical Sciences Statistics

- Length: 170 pages
- Edition: 2013
- Language: English
- Publisher: Springer
- Publication Date: 2013-07-28
- ISBN-10: 3319006290
- ISBN-13: 9783319006291
- Sales Rank: #6993502 (See Top 100 Books)

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

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

Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean

Chapter 2: Random Number Generator

Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing

Chapter 4: One-Group t-Test for the Mean

Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups

Chapter 6: Correlation and Simple Linear Regression

Chapter 7: Multiple Correlation and Multiple Regression

Chapter 8: One-Way Analysis of Variance (ANOVA)

Appendix A: Answers to End-of-Chapter Practice Problems

Appendix B: Practice Test

Appendix C: Answers to Practice TestPractice Test Answer

Appendix D: Statistical FormulasMean

Appendix E: t-TableCritical t-values needed for rejection of the null hypothesis