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The 54 pages that link to Confidence interval, each with the reason it gives.

• Measurement uncertaintyCompared with: Its frequentist coverage meaning differs from a measurement coverage interval.

• P-valueCompared with: Intervals show a range of parameter values, while a p-value summarizes a tail probability.

• Significant figuresCompared with: Intervals communicate inferential uncertainty more fully than a digit count.

• Uncertainty quantificationCompared with: It is a frequentist interval summary, distinct from a Bayesian probability statement.

• Bayesian statisticsCompared with: Unlike a credible interval, it does not assign a probability to the fixed parameter being inside this interval.

• Posterior probabilityCompared with: It is often mistaken for a posterior probability interval, but its interpretation differs.

• Prediction intervalCompared with: It targets the mean effect, whereas a prediction interval targets a future study’s effect.

• Credible intervalCompared with: Unlike a credible interval, its coverage statement concerns repeated samples, not posterior probability for fixed bounds.

• Statistical hypothesis testCompared with: Intervals express compatible parameter values, complementing a test's thresholded decision.

• Eyeball theoremCompared with: It expresses uncertainty that an apparent graph difference cannot reveal by itself.