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Introduction to statistics and data analysis: with exercises, solutions and applications in R
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental scien...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-46162-5 http://cds.cern.ch/record/2243867 |
_version_ | 1780953343634440192 |
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author | Heumann, Christian Schomaker, Michael Shalabh |
author_facet | Heumann, Christian Schomaker, Michael Shalabh |
author_sort | Heumann, Christian |
collection | CERN |
description | This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications. |
id | cern-2243867 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-22438672021-04-21T19:21:28Zdoi:10.1007/978-3-319-46162-5http://cds.cern.ch/record/2243867engHeumann, ChristianSchomaker, MichaelShalabhIntroduction to statistics and data analysis: with exercises, solutions and applications in RMathematical Physics and MathematicsThis introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.Springeroai:cds.cern.ch:22438672016 |
spellingShingle | Mathematical Physics and Mathematics Heumann, Christian Schomaker, Michael Shalabh Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title | Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title_full | Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title_fullStr | Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title_full_unstemmed | Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title_short | Introduction to statistics and data analysis: with exercises, solutions and applications in R |
title_sort | introduction to statistics and data analysis: with exercises, solutions and applications in r |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-46162-5 http://cds.cern.ch/record/2243867 |
work_keys_str_mv | AT heumannchristian introductiontostatisticsanddataanalysiswithexercisessolutionsandapplicationsinr AT schomakermichael introductiontostatisticsanddataanalysiswithexercisessolutionsandapplicationsinr AT shalabh introductiontostatisticsanddataanalysiswithexercisessolutionsandapplicationsinr |