Statistical Thinking: Analyzing Data in an Uncertain World

Statistics Thinking is an undergraduate textbook that provides an essential introduction to statistics for students of psychology and the social sciences. It focuses on deep comprehension rather than rote application or mathematical immersion and presents cutting-edge ideas from the fields of machine learning and data science to help students effectively use statistical methods to ask questions about data. The book explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice and includes a wealth of examples using real-world data. Accompanied by computer code in R and in Python, it enables students to see how each example is generated and to code their own analyses.

Format: Paperback / softback
Length: 280 pages
Publication date: 20 June 2023
Publisher: Princeton University Press

Statistics is an essential subject for students studying psychology and the social sciences, as it provides the tools to understand and analyze complex data. This comprehensive undergraduate textbook introduces students to the main ideas of statistics in a way that emphasizes deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, incorporating cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data.

Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data. It introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data. The book presents a model of statistics that ties together a broad range of statistical techniques that can be used to answer many different kinds of questions. It explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice.

The book includes a wealth of examples using real-world data, accompanied by computer code in R and in Python that enables students to see how each example is generated and to code their own analyses. This hands-on approach allows students to gain a deeper understanding of the subject and apply their knowledge to real-world situations.

In conclusion, Statistical Thinking is an essential textbook for students studying psychology and the social sciences. It provides a modern and comprehensive introduction to statistics, emphasizing deep comprehension and practical application. With its wealth of examples and computer code, it enables students to gain a deeper understanding of the subject and apply their knowledge to real-world situations.

Weight: 542g
Dimension: 178 x 254 x 18 (mm)
ISBN-13: 9780691218441