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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

• Probability distributions and how they reveal the shape and behavior of data

• Samples and populations, including the Central Limit Theorem

• Confidence intervals and hypothesis testing as tools for drawing reliable conclusions

• Regression methods such as linear and logistic regression

• 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

• Developers seeking a stronger foundation in statistics for data-driven applications

• Data analysts and scientists who want to sharpen their statistical reasoning

• Students or professionals preparing to apply statistical methods in research or industry settings

• Educators looking for approachable examples to illustrate statistical principles

Availability

• Launched in MEAP: September 2025

• Chapters available: 3 of 11 currently released

• Estimated full publication: Spring 2026

• Formats: eBook (immediate), print upon completion

• Full details: https://www.manning.com/books/grokking-statistics

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