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dc.contributor.authorHeumann, Christianen_US
dc.contributor.authorSchomaker, Michaelen_US
dc.contributor.authorShalabhen_US
dc.date.accessioned2020-08-05T07:24:26Z
dc.date.available2020-08-05T07:24:26Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-319-46160-1en_US
dc.identifier.isbn978-3-319-46162-5en_US
dc.identifier.otherHPU2164651en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33721
dc.description.abstractThis 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.en_US
dc.format.extent457p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectStatisticsen_US
dc.subjectData Analysisen_US
dc.subjectStatistical methodsen_US
dc.titleIntroduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in Ren_US
dc.typeBooken_US
dc.size6,47 MBen_US
dc.departmentSociologyen_US


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