September 2026
Beginner
352 pages
9h 24m
English
Content preview from Grokking Statistics
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4 The grand exhibit of normality
In this chapter
- The normal distribution, its properties, and its central role in statistics
- The empirical rule, Chebyshev’s theorem, and other tools for understanding data spread
- The central limit theorem and how it generalizes samples to a normal distribution
The normal distribution is the most famous probability distribution, and for good reason. When we observe a bell-shaped curve in the frequency of values in our data, we believe the data is normally distributed. The normal distribution generalizes many use cases in statistics and provides powerful tools for inferring attributes about a population from a sample. It is foundational to many other techniques in the rest of this book, from confidence intervals ...
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