Description

An essential introduction to statistics for students of psychology and the social sciences

Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing 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.

  • Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data
  • 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
  • Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice
  • Includes a wealth of examples using real-world data
  • Accompanied by computer code in R and in Python—freely available online—that enables students to see how each example is generated and to code their own analyses

Statistical Thinking: Analyzing Data in an Uncertain World

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Paperback / softback by Russell Poldrack

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An essential introduction to statistics for students of psychology and the social sciencesStatistical thinking is increasingly essential to understanding our... Read more

    Publisher: Princeton University Press
    Publication Date: 20/06/2023
    ISBN13: 9780691218441, 978-0691218441
    ISBN10: 0691218447

    Number of Pages: 280

    Non Fiction , Politics, Philosophy & Society

    Description

    An essential introduction to statistics for students of psychology and the social sciences

    Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing 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.

    • Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data
    • 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
    • Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice
    • Includes a wealth of examples using real-world data
    • Accompanied by computer code in R and in Python—freely available online—that enables students to see how each example is generated and to code their own analyses

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