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difficulty 3/5

Confidence interval

Definition

A range built so that, across repeated experiments, a stated fraction of such ranges contain the true value. The fraction is a property of the method, not of the interval in front of you.

Formula
Yˉ±t1−α/2, N−1 sN\bar{Y} \pm t_{1-\alpha/2,\,N-1}\,\frac{s}{\sqrt{N}}

Intuition

You weigh nine gorillas and get an average of 90 kg. Report that number alone and you have implied a precision you do not have: weigh a different nine and you would get something else, purely because you weighed a different nine.

"Variation in the estimate caused by random selection is called sampling error" [1, §8.3], and the interval is how you report it. Interval estimates exist "because the estimate of the mean varies from sample to sample", and instead of a single number "a confidence interval generates a lower and upper limit" [2, §1.3.5.2].

The part almost everyone gets wrong is what the percentage attaches to. It is not a probability about your interval. It is a track record of the procedure, and both sources say so in nearly the same words.

Formal definition

How it works

Where it's used

Why & when

Worked example

Pitfalls

Check yourself

3 questions

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On the cheat sheet: Statistical testing →

Sources

  1. Downey. Think Stats, 2nd ed.book · retrieved 2026-09-06https://greenteapress.com/thinkstats2/html/index.html
  2. NIST/SEMATECH e-Handbook of Statistical Methodsstandard · retrieved 2026-09-06https://www.itl.nist.gov/div898/handbook/eda/section3/eda352.htm

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