The Observation Theory EncyclopediaFrom TSKAboutBy kindBy chapterBy Lean fileLedgerProvenance

confidence interval concept

DefinitionA range that would contain the true value in a stated fraction of repeated samples, usually 95 percent. Chapter 0 section 0.9. Also inside the interval, with interval.
ExampleA mean of 0.62 with standard error 0.04 has a 95 percent interval of about 0.54 to 0.70.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id confidence-interval, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • A range that would contain the true value in a stated fraction of repeated samples. An interval with coverage one minus alpha misses in a fraction alpha, over m independent intervals the expected misses are m alpha and the chance that all cover is one minus alpha to the m, and the chance that at least one misses is at most m alpha.
  • Nine intervals at ninety-five percent have a chance near seven percent of two or more misses, which is how the re-gate table’s seven of nine inside the interval is read.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/ConfidenceInterval.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
00.51estimateresamples of the same rows
A range the estimate falls in with a stated frequency over repetitions.

Equation

none

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

Chapter 0 section 0.9 of Data Mining as Observation, with the program’s intervals in the re-gate table of chapter 14 and the hubness intervals of chapter 11.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/ConfidenceInterval.lean, theorems missRate_eq, some_miss_le, nine_intervals, nine_expected, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation primer S, chapters 0, 6, 8, 14.

Related

bootstrap; standard error; p-value; preregistration.

See also

Book equations stated beside the entry’s terms, not defining it: 8.3, 8.2.

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

← confidenceconfound →