I offer this question as a clearing house where we can keep a running and persistent tally regarding the criteria that we use to establish whether something is on-topic, off-topic, too-localized, needs to be migrated, and/or low quality. These criteria should only be applied to contemporary posts at the time they are made. Criteria for deleting/closing/migrating questions made prior to the date of this post should be discussed elsewhere.
Please provide only one criterion per answer. Please title your criterion so that it may be referred to in other criteria. Please provide examples when possible.
Please liberally up-vote and down-vote proposed criteria.
Each criterion that crosses a certain threshold of up-votes (I propose 5) should be considered to be in-force.
If two criteria conflict, then the criterion with more upvotes applies, unless another criterion with more than 5 upvotes specifically addresses the case of conflict (in which case please cite the titles of the specific criteria implicated in your conflict resolution criterion).
If two conflicting criteria have an equal number of votes, but no de-conflicting criterion has crossed the threshold of acceptance, then the criterion with the later original post date applies.
Note: This criterion is currently accepted per this post unless it falls below 0 votes.
"Find the distribution" topics are on-topic if:
They do not meet any other exclusion criteria
Specifically the following criteria are relevant to consult:
Too Localized (not yet specified, cf. the FAQ and use your common judgement): If your 'find the distribution' question is specific to your data-set then it is too localized to be a good question on CV unless:
The question asker demonstrates considerable research effort and describe clearly the steps they have taken to solve the problem (distributions considered etc)
The question asker clearly describes the source(s) of the data.
The question asker's problem is not only about using software to answer their question in which case the question should be migrated to the appropriate stackexchange site.
Not a real question (not yet specified, cf. the FAQ and use your common judgement)
Duplicate (not yet specified, cf. the FAQ and use your common judgement; list specific duplicates here, and cite them when closing the question)
On Topic: Questions related to survey methodology as it relates to statistical analysis
This includes "soft" concepts such as questionnaire design, non-response biases, interviewer effects, mode effects, timing of the phone calls, and other operational aspects so long as the question either directly addresses a statistical issue or the question asker indicates that their concern is in regards to later statistical analysis rather solely the practical operational aspects of conducting the survey.