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Statistical thinking : analyzing data in an uncertain world

By: Poldrack, Russell A.
Publisher: Princeton : Princeton University Press, 2023Description: ix, 264 p. ; ill., (b & w), 26 cm.ISBN: 9780691218441.Subject(s): Probability and Statistics | Statistical methods | Bayes factor | Box plot | Conditional probability | Linear model | Marginal likelihood | NHANES dataset | P-value | Statistical powerDDC classification: 519.5 Summary: 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.
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Includes bibliographical references and index.

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.

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