Statistical Thinking for the 21st Century by Russell A. Poldrack
Statistical Thinking for the 21st Century - Table of Contents
- 1. Introduction to statistical thinking and data science
- 2. Working with Data and Tidy Workflows
- 3. Elementary Probability Foundations
- 4. Summarizing Data and Distributions
- 5. Fitting Statistical Models to Empirical Data
- 6. Graphical Principles of Data Visualization
- 7. Random Sampling and Representative Distributions
- 8. simulation-based data resampling and Monte Carlo simulation
- 9. Principles of Hypothesis Testing
- 10. Confidence Intervals, Effect Sizes, and Statistical Power
- 11. Modern bayesian statistics and inference
- 12. Modeling Categorical Data Relationships
- 13. Modeling Continuous Bivariate Relationships
- 14. Foundations of the general linear model
- 15. Comparing Group Means with ANOVA
- 16. Practical Application of computational statistics models
- 17. Open Science Practices for a reproducible research data science guide
What You Will Learn in Statistical Thinking for the 21st Century
Statistical Thinking for the 21st Century by Russell A. Poldrack is a cutting-edge open-access textbook designed for undergraduate students, neuroscientists, and data science practitioners. Serving as a premier computational statistics textbook for data science, this volume replaces outdated formula memorization with practical simulation techniques and computational workflows.
Poldrack’s open-science approach enables readers to learn statistical thinking and data science step-by-step. Topics transition seamlessly from data visualization and probability models to resampling methods, confidence intervals, linear modeling, and Bayesian inference, making this a complete statistical thinking for the 21st century pdf study reference.
Ideal for university scholars, empirical researchers, and self-taught quantitative analysts, this open-access project offers an outstanding free modern statistics textbook for beginners. Available as an accessible educational reference, it stands as an indispensable applied data analysis study guide for self-learners mastering reproducible statistical inference.
Book Details & Specifications
Title:
Statistical Thinking for the 21st Century by Russell A. Poldrack
Publisher:
Stanford University
Year:
2024
Pages:
321
Type:
PDF
Language:
English
ISBN-10 #:
0691218447
ISBN-13 #:
978-0691218441
License:
CC BY-NC 4.0
Amazon:
Amazon
About the Author: Russell A. Poldrack
The author Russell A. Poldrack
is the Albert Ray Lang Professor of Psychology at Stanford University, Director of the Stanford Center for Open and Reproducible Science, and a leading advocate for open science and neuroimaging data analytics.
His open-access textbook, Statistical Thinking for the 21st Century PDF by Russell A. Poldrack, is internationally celebrated for introducing modern computational statistics and reproducible data workflows to student researchers worldwide.
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