Recognising a central limit theorem problem means spotting a question about:

1. The theorem describes the behaviour of statistics computed from samples. 2. The task is to recognise central limit theorem problems. 3. If the original population is far from normal, more observations are needed for the sample means or sums to be normal. 4. So the theorem covers both averages and totals of a sample. 5. A question about one individual observation is governed by the population distribution instead. _Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 7 'The Central Limit Theorem', sections 7.1-7.3_