The uncertainty introduced when a conclusion is based on a sample instead of the full population.
Why it matters: It is the reason confidence intervals exist.
Vocabulary
Use this as a fast reference for common terms that often get conflated in stakeholder discussions.
Reference cardsShowing terms in the Metrics group.
The uncertainty introduced when a conclusion is based on a sample instead of the full population.
Why it matters: It is the reason confidence intervals exist.
The proportion of a population that is responsive, often used interchangeably with richness.
Why it matters: It drives every sample-size and recall-uncertainty calculation.
The number or proportion of responsive documents recovered by a step in the workflow.
Why it matters: It helps you judge whether a culling or prioritization move actually captured the responsive material.
The harmonic mean of precision and recall, expressed as a single number between 0 and 1.
Why it matters: It is a convenient summary when you need to balance completeness against purity.
The proportion of documents in the discarded set that are actually responsive, estimated from a sample.
Why it matters: It quantifies what a culling decision left behind and is central to defensibility.
How far down a ranked list you must review to reach a target recall level.
Why it matters: It connects a recall goal to the actual review volume and cost it implies.