🧮  Confidence Intervals (CIs)

Confidence Intervals (CIs)#

A range that would contain the true parameter a stated fraction of the time.

Important

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What it is#

A confidence interval is a range of plausible values for an unknown parameter — a mean, a proportion — computed from a sample together with a confidence level (typically 95%). It expresses the uncertainty in a point estimate: a wider interval means less precision.

What the level means#

The confidence level is a statement about the procedure, not any one interval. If you repeated the study many times, about 95% of the intervals you built would contain the true value — it is not a 95% probability that the parameter lies in this interval (in the frequentist view the parameter is fixed). Intervals narrow as the sample size grows.

How they’re built#

A CI is typically an estimate ± a margin of error (a critical value times a standard error), but for tricky quantities like a binomial proportion there are several methods — Wald, Wilson, Clopper–Pearson, bootstrap — that trade coverage against width.


Theme: Statistical Inference & Power  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: Confidence Intervals (CIs) (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: beginner