With Grokking Statistics, you’ll build a strong foundation in statistical analysis by working through engaging mini projects that put each skill you learn into practice immediately.
Thomas Nield
Grokking Statistics by Thomas Nield introduces core statistical ideas in a clear, practical way, with an emphasis on building intuition and applying methods to real-world problems. The book is now available in early access (MEAP), giving readers the opportunity to explore chapters as they are written.
Key topics covered
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Probability distributions and how they reveal the shape and behavior of data
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Samples and populations, including the Central Limit Theorem
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Confidence intervals and hypothesis testing as tools for drawing reliable conclusions
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Regression methods such as linear and logistic regression
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Common pitfalls including p-hacking, logical fallacies, and biased incentive structures
Approach and style
The book emphasizes accessibility without sacrificing rigor. Concepts are explained using Python-based examples and grounded in real-world datasets, such as NOAA tornado data and other practical case studies. Each chapter combines theory with hands-on exercises to reinforce understanding.
Audience
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Developers seeking a stronger foundation in statistics for data-driven applications
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Data analysts and scientists who want to sharpen their statistical reasoning
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Students or professionals preparing to apply statistical methods in research or industry settings
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Educators looking for approachable examples to illustrate statistical principles
Availability
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Launched in MEAP: September 2025
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Chapters available: 3 of 11 currently released
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Estimated full publication: Spring 2026
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Formats: eBook (immediate), print upon completion
- Full details: https://www.manning.com/books/grokking-statistics
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