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Introduction to Probabilistic and Statistical Methods with Examples in R

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Introduction to Probabilistic and Statistical Methods with Examples in R Synopsis

This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.  

About This Edition

ISBN: 9783030458010
Publication date: 23rd May 2021
Author: Katarzyna Stapor
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 157 pages
Series: Intelligent Systems Reference Library
Genres: Probability and statistics
Databases
Maths for engineers