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Introduction to statistics and data analysis : with Exercises, solutions and applications in R / by Christian Heumann, Michael Schomaker, Shalabh

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer, [2016]Copyright date: © 2016Description: 1 Online-Ressource (xiii, 456 Seiten) : 89 Illustrationen, DiagrammeISBN:
  • 9783319461625
Subject(s): Additional physical formats: 9783319461601 | Erscheint auch als: 9783319461601 Druck-Ausgabe | Druckausg.: Introduction to statistics and data analysis. Cham : Springer, 2016. xii, 456 SeitenDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
DOI: DOI: 10.1007/978-3-319-46162-5Online resources: Summary: 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 applicationsSummary: Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual SummariesPPN: PPN: 879411570Package identifier: Produktsigel: ZDB-2-SMA | ZDB-2-SXMS | ZDB-2-SEB
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Reproduktion. (Springer eBook Collection. Mathematics and Statistics)

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