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+-------- Thread: Grokking Statistics [Nield] (/showthread.php?tid=2083)
Grokking Statistics [Nield] - mklabgr - 09-23-2026
Grokking Statistics by Thomas Nield is a beginner-friendly, practical introduction to statistics designed to make statistical reasoning intuitive rather than formula-heavy. The book begins with the relationship between samples and populations and develops core concepts including probability, probability distributions,
the normal distribution, the central limit theorem, sample size, confidence intervals, hypothesis testing, correlation, linear regression, and logistic regression. Python is used to perform the calculations, allowing the reader to concentrate on interpreting results and understanding what the numbers actually mean.
A major theme is thinking critically about data and uncertainty. Nield discusses how biased samples, misleading metrics, questionable assumptions, overfitting, p-hacking, data drift, and other statistical mistakes can produce unreliable conclusions.
The book therefore goes beyond teaching statistical techniques: it aims to develop the ability to question evidence, recognize when statistical claims are misleading, and make better decisions under uncertainty. Its ten chapters are aimed particularly at beginners, software developers, data analysts, and other technology-oriented readers who want a practical foundation in statistics.[/url]
[url=https://www.oreilly.com/library/view/grokking-statistics/9781633434769/]BOOK