Statistics explained: an introductory guide for life scientists
Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are the...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2006
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xii, 267 pages) |
| ISBN: | 9780511815935 |
| DOI: | 10.1017/CBO9780511815935 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | McKillup, Steve |
| author_facet | McKillup, Steve |
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| building | Verbundindex |
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| contents | 'Doing science'--hypotheses, experiments, and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Probability helps you make a decision about your results -- Working from samples--data, populations, and statistics -- Normal distributions--tests for comparing the means of one and two samples -- Type 1 and type 2 errors, power, and sample size -- Single factor analysis of variance -- Multiple comparisons after ANOVA -- Two factor analysis of variance -- Important assumptions of analysis of variance: transformations and a test for equality of variances -- Two factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Simple linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ratio, interval, or ordinal scale data -- Choosing a test -- Doing science responsibly and ethically |
| ctrlnum | (ZDB-20-CBO)CR9780511815935 (OCoLC)967602307 (DE-599)BVBBV043942973 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.1/5195 |
| dewey-search | 570.1/5195 |
| dewey-sort | 3570.1 45195 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/CBO9780511815935 |
| format | Electronic eBook |
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| spelling | McKillup, Steve Verfasser aut Statistics explained an introductory guide for life scientists Steve McKillup Cambridge Cambridge University Press 2006 1 online resource (xii, 267 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 'Doing science'--hypotheses, experiments, and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Probability helps you make a decision about your results -- Working from samples--data, populations, and statistics -- Normal distributions--tests for comparing the means of one and two samples -- Type 1 and type 2 errors, power, and sample size -- Single factor analysis of variance -- Multiple comparisons after ANOVA -- Two factor analysis of variance -- Important assumptions of analysis of variance: transformations and a test for equality of variances -- Two factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Simple linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ratio, interval, or ordinal scale data -- Choosing a test -- Doing science responsibly and ethically Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students Biowissenschaften Statistik Life sciences / Statistical methods Statistics Biostatistik (DE-588)4729990-3 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Biowissenschaften (DE-588)4129772-6 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Biowissenschaften (DE-588)4129772-6 s Sozialwissenschaften (DE-588)4055916-6 s Statistik (DE-588)4056995-0 s 2\p DE-604 Biostatistik (DE-588)4729990-3 s 3\p DE-604 Erscheint auch als Druckausgabe 978-0-521-54316-3 Erscheint auch als Druckausgabe 978-0-521-83550-3 https://doi.org/10.1017/CBO9780511815935 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | McKillup, Steve Statistics explained an introductory guide for life scientists 'Doing science'--hypotheses, experiments, and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Probability helps you make a decision about your results -- Working from samples--data, populations, and statistics -- Normal distributions--tests for comparing the means of one and two samples -- Type 1 and type 2 errors, power, and sample size -- Single factor analysis of variance -- Multiple comparisons after ANOVA -- Two factor analysis of variance -- Important assumptions of analysis of variance: transformations and a test for equality of variances -- Two factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Simple linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ratio, interval, or ordinal scale data -- Choosing a test -- Doing science responsibly and ethically Biowissenschaften Statistik Life sciences / Statistical methods Statistics Biostatistik (DE-588)4729990-3 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| subject_GND | (DE-588)4729990-3 (DE-588)4055916-6 (DE-588)4056995-0 (DE-588)4129772-6 (DE-588)4151278-9 |
| title | Statistics explained an introductory guide for life scientists |
| title_auth | Statistics explained an introductory guide for life scientists |
| title_exact_search | Statistics explained an introductory guide for life scientists |
| title_full | Statistics explained an introductory guide for life scientists Steve McKillup |
| title_fullStr | Statistics explained an introductory guide for life scientists Steve McKillup |
| title_full_unstemmed | Statistics explained an introductory guide for life scientists Steve McKillup |
| title_short | Statistics explained |
| title_sort | statistics explained an introductory guide for life scientists |
| title_sub | an introductory guide for life scientists |
| topic | Biowissenschaften Statistik Life sciences / Statistical methods Statistics Biostatistik (DE-588)4729990-3 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| topic_facet | Biowissenschaften Statistik Life sciences / Statistical methods Statistics Biostatistik Sozialwissenschaften Einführung |
| url | https://doi.org/10.1017/CBO9780511815935 |
| work_keys_str_mv | AT mckillupsteve statisticsexplainedanintroductoryguideforlifescientists |