| 000 | 07350cam a2201165 a 4500 | ||
|---|---|---|---|
| 001 | ocn782906087 | ||
| 003 | OCoLC | ||
| 005 | 20220713095347.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 120402s2012 enka ob 001 0 eng d | ||
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| 020 | _a1139159887 | ||
| 020 | _a9781139159883 | ||
| 020 | _a9786613728043 | ||
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| 020 | _a9781139155328 | ||
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| 020 | _z9781139157070 | ||
| 024 | 8 | _a9786613728043 | |
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| 049 | _aMAIN | ||
| 100 | 1 |
_aKirkup, Les. _91543693 |
|
| 245 | 1 | 0 |
_aData analysis for physical scientists : _bfeaturing Excel / _cLes Kirkup. |
| 250 | _a2nd ed. | ||
| 260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2012. |
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| 300 |
_a1 online resource (xv, 510 pages) : _billustrations |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aRevised edition of: Data analysis with Excel. 2002. | ||
| 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 Excel® 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"--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"--Provided by publisher | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 588 | 0 | _aPrint version record. | |
| 505 | 0 | _a1. 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. | |
| 546 | _aEnglish. | ||
| 590 |
_aeBooks on EBSCOhost _bEBSCO eBook Subscription Academic Collection - Worldwide |
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| 630 | 0 | 0 | _aMicrosoft Excel (Computer file) |
| 630 | 0 | 7 |
_aMicrosoft Excel (Computer file) _2fast _0(OCoLC)fst01366659 |
| 650 | 0 |
_aResearch _xStatistical methods _xData processing. _91059040 |
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| 650 | 0 |
_aElectronic spreadsheets. _933777 |
|
| 650 | 0 |
_aStatistics. _929514 |
|
| 650 | 2 |
_aStatistics as Topic _9582214 |
|
| 650 | 6 |
_aRecherche _xMéthodes statistiques _xInformatique. _91059042 |
|
| 650 | 6 |
_aTableurs. _9903023 |
|
| 650 | 6 |
_aStatistiques. _9513 |
|
| 650 | 7 |
_aSCIENCE _xMathematical Physics. _2bisacsh _9869208 |
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| 650 | 7 |
_aSCIENCE _xLaboratory Techniques. _2bisacsh _91294142 |
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| 650 | 7 |
_aSCIENCE _xMicroscopes & Microscopy. _2bisacsh _9879973 |
|
| 650 | 7 |
_aElectronic spreadsheets. _2fast _0(OCoLC)fst00907463 _933777 |
|
| 650 | 7 |
_aResearch _xStatistical methods _xData processing. _2fast _0(OCoLC)fst01095243 _91059040 |
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| 650 | 7 |
_aEXCEL _2gnd _933864 |
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| 650 | 7 |
_aDatenanalyse _2gnd _933773 |
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| 650 | 7 |
_aDatenanalyse. _2idszbz _933773 |
|
| 650 | 7 |
_aEXCEL. _2idszbz _933864 |
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| 655 | 0 | _aElectronic books. | |
| 655 | 4 | _aElectronic books. | |
| 700 | 1 |
_aKirkup, Les. _tData analysis with Excel. _91543694 |
|
| 776 | 0 | 8 |
_iPrint version: _aKirkup, Les. _tData analysis for physical scientists. _b2nd ed. _dCambridge ; New York : Cambridge University Press, 2012 _z9780521883726 _w(DLC) 2011017662 _w(OCoLC)714728209 |
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