<p>This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isnβt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers
Excel 2016 for Biological and Life 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
- 263
- Series
- Excel for Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isnβt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.
Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Biological and Life 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 2016 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 biological and life 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-xvii
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 65-80
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 81-107
Correlation and Simple Linear Regression....Pages 109-152
Multiple Correlation and Multiple Regression....Pages 153-169
One-Way Analysis of Variance (ANOVA)....Pages 171-188
Back Matter....Pages 189-248
β¦ Subjects
Statistics for Life Sciences, Medicine, Health Sciences;Statistics and Computing/Statistics Programs;Biostatistics
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