September 2026
Beginner
352 pages
9h 24m
English
Content preview from Grokking Statistics
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5 Sample size superpowers
In this chapter
- The central limit theorem in depth
- Practical applications of the theorem, such as confidence intervals for means and proportions
- Estimating a population mean or proportion from a sample with a range of values using confidence intervals
- Handling smaller sample sizes using the t-distribution
In statistics, we rarely have access to a whole population, which is why we resort to sampling to estimate its characteristics. With a sample, we try to infer attributes of the larger population, assuming that the sample is representative. But a good statistician more often responds with uncertainty than with absolute certainty, embracing tools that allow for a range of values rather than a single one. Confidence ...
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