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      Statistical Thinking: Analyzing Data in an Uncertain World

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      SKU 9780691218441 Categories ,
      An essential introduction to statistics for students of psychology and the social sciencesStatistical 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 idea...

      £35.00

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      Description

      Product ID:9780691218441
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Statistical Thinking
      Subtitle:Analyzing Data in an Uncertain World
      Authors:Author: Russell Poldrack
      Page Count:280
      Subjects:Psychology, Psychology, Probability and statistics, Probability & statistics
      Description:An essential introduction to statistics for students of psychology and the social sciencesStatistical 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 dataPresents a model of statistics that ties together a broad range of statistical techniques that can be used to answer many different kinds of questionsExplains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practiceIncludes a wealth of examples using real-world dataAccompanied 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
      Imprint Name:Princeton University Press
      Publisher Name:Princeton University Press
      Country of Publication:GB
      Publishing Date:2023-06-20

      Additional information

      Weight530 g
      Dimensions178 × 254 × 18 mm