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Can lend chapters, not whole ebooks
Title
Excel 2019 for physical sciences statistics : a guide to solving practical problems / by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.
Edition
2nd edition.
ISBN
9783030632380
3030632385
9783030632373 (print)
3030632377
9783030632397 (print)
3030632393
Published
Cham : Springer, 2021.
Language
English
Description
1 online resource (XIX, 242 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-030-63238-0 doi
Call Number
HF5548.4.M523 Q57 2021
Dewey Decimal Classification
519.5
Summary
This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 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 isn't the reader's 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. Excel 2019 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. In this new edition, 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Excel for statistics.
Available in Other Form
Print version: 9783030632373
Print version: 9783030632397
Preface
Acknowledgements
1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
2 Random Number Generator
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
4 One-Group t-Test for the Mean
5 Two-Group t-Test of the Difference of the Means for Independent Groups
6 Correlation and Simple Linear Regression
7 Multiple Correlation and Multiple Regression
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 Test
Appendix D: Statistical Formulas
Appendix E: t-table
Index.
