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Russell A. Poldrack introduces statistics as a way of reasoning about evidence, uncertainty and the world. The book begins with data, measurement, summaries and visual displays, then develops probability, sampling, simulation and hypothesis testing. Examples connect the mathematical ideas to research questions, showing how models and assumptions shape the conclusions drawn from observations.
Later chapters cover effect sizes, study design, Bayesian reasoning and models for categorical and continuous relationships. Learning objectives, suggested readings and appendices support the main explanations. This is the author’s complete core-text PDF dated 31 March 2024, labelled as a draft living edition, with its original figures and bibliography; the work was first made available in 2018–2019.