Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh.
Heumann, Christian, 1962- author.; Schomaker, Michael, author.; Shalabh, author.
2022
QA276
Available Online

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Title Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh.
Author Heumann, Christian, 1962- author.
Edition Second edition.
ISBN 9783031118333 (electronic bk.)
3031118332 (electronic bk.)
9783031118326
3031118324
DOI https://doi.org/10.1007/978-3-031-11833-3
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xvii, 584 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-031-11833-3 doi
Call Number QA276
Dewey Decimal Classification 519.5
Summary Now in its second edition, 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. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. 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 the methods to their own applications.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Schomaker, Michael, author.
Shalabh, author.
Available in Other Form Introduction to statistics and data analysis.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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
Logistic Regression
Part IV Additional Topics Simple Random Sampling and Bootstrapping
Causality
Part V Appendices: Introduction to R
Solutions to Exercises
Technical Appendix
Visual Summaries.

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