How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A measurable [0,1]-valued statistic need not be a valid p-value
Statement refuted
Every measurable statistic is a valid p-value for a given null hypothesis.
Facts & Assumptions
Given: A statistical experiment with a nonempty null hypothesis and a disjoint nonempty alternative, and the definition of a valid p-value.
Statistical experiments: an experiment supplies a measurable data space and a probability law for each parameter.
Valid p-values: a valid p-value must satisfy for every null parameter and every .
Test size and power: for the simple null and a nonempty disjoint alternative, size is the rejection probability under .
A measurable function between measurable spaces: a statistic is measurable when all measurable target sets have measurable preimages.
The expectation of an indicator is the probability of the event: the expectation of an event indicator is the event's probability.
Every measurable rejection function defines a randomized test: every measurable function into defines a binary randomized test.
Counterexample
Let with the full sigma-algebra, , , and . Set and , . These masses define probability measures: they are nonnegative and sum to one, and on the two-point space countable additivity follows because at most two members of a disjoint family are nonempty. Define and . It is measurable because every subset of is measurable.
At , , so . Thus is not valid by [F2]. Thresholding it at defines a test by [F6], rejects on , and has size by [F3,F5], so it is anti-conservative. The claimed implication is false.
Depends on
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Dependency tree · two levels
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