An Introduction to Statistics With Python

An Introduction to Statistics With Python With Applications in the Life Sciences - Statistics and Computing

Second edition

Hardback (16 Nov 2022)

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Publisher's Synopsis

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics.

For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs.

The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis.

With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. 

Book information

ISBN: 9783030973704
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: Second edition
DEWEY: 005.133
DEWEY edition: 23
Language: English
Number of pages: 300
Weight: 700g
Height: 161mm
Width: 241mm
Spine width: 27mm