A practical guide to data analysis for physical science students - Info and Reading Options
By Louis Lyons

"A practical guide to data analysis for physical science students" was published by Cambridge University Press in 1991 - Cambridge [England], it has 95 pages and the language of the book is English.
“A practical guide to data analysis for physical science students” Metadata:
- Title: ➤ A practical guide to data analysis for physical science students
- Author: Louis Lyons
- Language: English
- Number of Pages: 95
- Publisher: Cambridge University Press
- Publish Date: 1991
- Publish Location: Cambridge [England]
“A practical guide to data analysis for physical science students” Subjects and Themes:
- Subjects: ➤ Statistical methods - Experiments - Physics - Physics, experiments - Physics--experiments--statistical methods - Qc33 .l9 1991 - 500.2/0724
Edition Specifications:
- Pagination: xii, 95 p. :
Edition Identifiers:
- The Open Library ID: OL1540950M - OL3499014W
- Online Computer Library Center (OCLC) ID: 23767000
- Library of Congress Control Number (LCCN): 91019623
- ISBN-10: 0521414156 - 0521424631
- All ISBNs: 0521414156 - 0521424631
AI-generated Review of “A practical guide to data analysis for physical science students”:
"A practical guide to data analysis for physical science students" Description:
The Open Library:
This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyze data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. Students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort.
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