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Title
Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh.
ISBN
9783319461625 (electronic book)
3319461621 (electronic book)
9783319461601
Published
Cham, Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xiii, 456 pages) : illustrations.
Item Number
10.1007/978-3-319-46162-5 doi
Call Number
QA276
Dewey Decimal Classification
519.5
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 applications.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 7, 2017).
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 Summaries.