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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...

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Detalles Bibliográficos
Autores principales: Heumann, Christian, Schomaker, Michael, Shalabh
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-46162-5
http://cds.cern.ch/record/2243867
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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.
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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
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