Data analysis for physical scientists: featuring Excel
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 textb...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xv, 510 pages) |
| ISBN: | 9781139005258 |
| DOI: | 10.1017/CBO9781139005258 |
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| 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 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 | ||
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| contents | 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 |
| ctrlnum | (ZDB-20-CBO)CR9781139005258 (OCoLC)992842668 (DE-599)BVBBV043944237 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 502 - Miscellany |
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| dewey-search | 502.85/554 |
| dewey-sort | 3502.85 3554 |
| dewey-tens | 500 - Natural sciences and mathematics |
| discipline | Allgemeine Naturwissenschaft Physik Informatik |
| doi_str_mv | 10.1017/CBO9781139005258 |
| edition | Second edition |
| format | Electronic eBook |
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| isbn | 9781139005258 |
| language | English |
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| spelling | Kirkup, Les Verfasser aut Data analysis with Excel Data analysis for physical scientists featuring Excel Les Kirkup Second edition Cambridge Cambridge University Press 2011 1 online resource (xv, 510 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 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 Microsoft Excel (Computer file) Datenverarbeitung Research / Statistical methods / Data processing Electronic spreadsheets EXCEL (DE-588)4138932-3 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf EXCEL (DE-588)4138932-3 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-88372-6 https://doi.org/10.1017/CBO9781139005258 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kirkup, Les Data analysis for physical scientists featuring Excel 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 Microsoft Excel (Computer file) Datenverarbeitung Research / Statistical methods / Data processing Electronic spreadsheets EXCEL (DE-588)4138932-3 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4138932-3 (DE-588)4123037-1 |
| title | Data analysis for physical scientists featuring Excel |
| title_alt | Data analysis with Excel |
| title_auth | Data analysis for physical scientists featuring Excel |
| title_exact_search | Data analysis for physical scientists featuring Excel |
| title_full | Data analysis for physical scientists featuring Excel Les Kirkup |
| title_fullStr | Data analysis for physical scientists featuring Excel Les Kirkup |
| title_full_unstemmed | Data analysis for physical scientists featuring Excel Les Kirkup |
| title_short | Data analysis for physical scientists |
| title_sort | data analysis for physical scientists featuring excel |
| title_sub | featuring Excel |
| topic | Microsoft Excel (Computer file) Datenverarbeitung Research / Statistical methods / Data processing Electronic spreadsheets EXCEL (DE-588)4138932-3 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Microsoft Excel (Computer file) Datenverarbeitung Research / Statistical methods / Data processing Electronic spreadsheets EXCEL Datenanalyse |
| url | https://doi.org/10.1017/CBO9781139005258 |
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