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Data analysis for physical scientist...

Kirkup, Les.

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Data analysis for physical scientists : = featuring Excel /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data analysis for physical scientists :/ Les Kirkup.
Reminder of title:	featuring Excel /
Author:	Kirkup, Les.
other author:	Kirkup, Les.
Published:	Cambridge ;Cambridge University Press, : 2012.,
Description:	xv, 510 p. :ill. ;26 cm.
Notes:	Rev. ed. of: Data analysis with Excel. 2002.
[NT 15003449]:	Machine generated contents note: 1. Introduction to scientific data analysis; 2. Excel and data analysis; 3. Data distributions I; 4. Data distributions II; 5. Measurement, error and uncertainty; 6. Least squares I; 7. Least squares II; 8. Non-linear least squares; 9. Tests of significance; 10. Data analysis tools in Excel and the Analysis ToolPak; Appendixes; Answers to exercises and end-of-chapter problems; References; Index.
Subject:	Research - Statistical methods -
ISBN:	9780521883726 (hbk.) :

Data analysis for physical scientists : = featuring Excel /
Kirkup, Les.

Data analysis for physical scientists :featuring Excel /Les Kirkup. - 2nd ed. - Cambridge ;Cambridge University Press,2012. - xv, 510 p. :ill. ;26 cm.

Rev. ed. of: Data analysis with Excel. 2002.

Includes bibliographical references and index.

Machine generated contents note: 1. Introduction to scientific data analysis; 2. Excel and data analysis; 3. Data distributions I; 4. Data distributions II; 5. Measurement, error and uncertainty; 6. Least squares I; 7. Least squares II; 8. Non-linear least squares; 9. Tests of significance; 10. Data analysis tools in Excel and the Analysis ToolPak; Appendixes; Answers to exercises and end-of-chapter problems; References; Index.

"The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excelª 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book"--

ISBN: 9780521883726 (hbk.) :US75.00Subjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

566684
Research
--Statistical methods

LC Class. No.: Q180.55.S7 / K57 2012

Dewey Class. No.: 502.85/554

Data analysis for physical scientists : = featuring Excel /
LDR:03298cam a2200241 a 4500 001 1070600
003 OCoLC
005 20120426002257.0
008 120507s2011 enka b 001 0 eng d
020 $a 9780521883726 (hbk.) : $c US75.00
020 $a 0521883725 (hbk.)
035 $a PS-BW-101-N-04
040 $a DLC $b eng $c DLC $d YDX $d BTCTA $d YDXCP $d UKMGB $d BDX
050 0 0 $a Q180.55.S7 $b K57 2012
082 0 0 $a 502.85/554 $2 23
100 1 $a Kirkup, Les. $3 566683
245 1 0 $a Data analysis for physical scientists : $b featuring Excel / $c Les Kirkup.
250 $a 2nd ed.
260 # $a Cambridge ; $a New York : $b Cambridge University Press, $c 2012.
300 $a xv, 510 p. : $b ill. ; $c 26 cm.
500 $a Rev. ed. of: Data analysis with Excel. 2002.
504 $a Includes bibliographical references and index.
505 8 # $a Machine generated contents note: 1. Introduction to scientific data analysis; 2. Excel and data analysis; 3. Data distributions I; 4. Data distributions II; 5. Measurement, error and uncertainty; 6. Least squares I; 7. Least squares II; 8. Non-linear least squares; 9. Tests of significance; 10. Data analysis tools in Excel and the Analysis ToolPak; Appendixes; Answers to exercises and end-of-chapter problems; References; Index.
520 # $a "The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excelª 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book"-- $c Provided by publisher.
520 # $a "Thorough analysis of experimental data frequently requires extensive numerical manipulation. Many tools exist to assist in the analysis of data, ranging from the pocket calculator to specialist computer based statistics packages. Despite limited editing and display options, the pocket calculator remains a well-used tool for basic analysis due to its low cost, convenience and reliability. Intensive data analysis may require a statistics package such as Systat or Origin . As well as standard functions, such as those used to determine means and standard deviations, these packages possess advanced features routinely required by researchers and professionals. Between the extremes of the pocket calculator and specialised statistics package is the spreadsheet. While originally designed for business users, spreadsheet packages are popular with other users due to their accessibility, versatility and ease of use. The inclusion of advanced features into spreadsheets means that, in many situations, a spreadsheet is a viable alternative to a statistics package"-- $c Provided by publisher.
630 0 0 $a Microsoft Excel (Computer file) $3 543656 $3 543656
650 # 0 $a Research $x Statistical methods $x Data processing. $3 566684
650 # 0 $a Electronic spreadsheets. $3 533209
700 1 # $a Kirkup, Les. $3 566683