A.15.11:5.2 - A model-review question reaches an assistant

An organization has an instruction for examining how data were recorded. Its assistant usually starts fitting a model as soon as a table arrives. The column label “measurement” does not reveal that some entries are selected or censored.

At the existing model-review step, the organization makes a question available: “What procedure produced each kind of record, including values omitted or reported only as bounds?” In this example the data documentation says that an entry “below 5” records any value under the instrument’s reporting threshold. The assistant obtains the relevant modeling instruction. For that record, it evaluates the proposed model’s probability of a value below 5 instead of treating 5 as an observed value.

If the documentation instead says that values below 5 are absent from the dataset, the receiving calculation changes. The cue has exposed a condition to investigate; the modeling method determines the calculation. If documentation is unavailable, the result is a specific missing fact, not a guessed observation procedure.

The assistant’s access to this question is part of the configured work. This case establishes neither parameter learning nor recognition without the provided question.