Excel 2013 for Physical Sciences Statistics: A Guide to Solving Practical Problems

✍ 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

✦ Synopsis

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 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 2013 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.

✦ Table of Contents

Front Matter....Pages i-xviii
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 35-62
One-Group t-Test for the Mean....Pages 63-76
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 77-102
Correlation and Simple Linear Regression....Pages 103-147
Multiple Correlation and Multiple Regression....Pages 149-165
One-Way Analysis of Variance (ANOVA)....Pages 167-183
Back Matter....Pages 185-242

✦ Subjects

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Mathematical Applications in the Physical Sciences; Computer Appl. in Social and Behavioral Sciences