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Statistical Thinking for the 21st Century

(1 review)

Russell A. Poldrack, Stanford University

Pub Date: 2018

Publisher: Independent

Language: English

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CC BY-NC

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Reviewed by Larry Leemis, Professor, William & Mary on 12/20/19

This review concerns an incomplete draft of the book dated 12-9-2019. Although this appears to be a textbook for a college course directed at psychology students enrolled in a statistics course, there are no homework exercises, nor is their an... read more

 

Table of Contents

  • 1 Introduction
  • 2 Working with data
  • 3 Probability
  • 4 Summarizing data
  • 5 Fitting models to data
  • 6 Data Visualization
  • 7 Sampling
  • 8 Resampling and simulation
  • 9 Hypothesis testing
  • 10 Confidence intervals, effect sizes, and statistical power
  • 11 Bayesian statistics
  • 12 Modeling categorical relationships
  • 13 Modeling continuous relationships
  • 14 The General Linear Model
  • 15 Comparing means
  • 16 The process of statistical modeling: A practical example
  • 17 Doing reproducible research

About the Book

Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

About the Contributors

Author

Russell A. Poldrack