| 书目名称 | Introduction to Statistics and Data Analysis | | 副标题 | With Exercises, Solu | | 编辑 | Christian Heumann,Michael Schomaker,Shalabh | | 视频video | | | 概述 | Introduces undergraduate students to quantitative data analysis and statistics.Includes a wealth of examples, exercises and solutions.Features working computer code in the statistical software R.Inclu | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Textbook 20161st edition | | 关键词 | descriptive statistical methods; inductive statistical methods; quantitative data analysis; statistical | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-46162-5 | | isbn_softcover | 978-3-319-83456-6 | | isbn_ebook | 978-3-319-46162-5 | | copyright | Springer Nature Switzerland AG 2016 |
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发表于 2025-3-21 18:05:02
