The central limit theorem applies to sample means taken from:
AAny population shape
BOnly normal populations
COnly uniform populations
DOnly small populations
Answer & Solution
Correct answer: A. Any population shape
1. The theorem's power lies in how few assumptions it needs.
2. The law of large numbers applies if you take samples of larger and larger size from any population.
3. As sample sizes increase, the distribution of means more closely follows the normal distribution.
4. A far-from-normal population simply needs more observations before the effect shows.
_Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 7 'The Central Limit Theorem', sections 7.1-7.3_
Keep practising The Central Limit Theorem
Browse all The Central Limit Theorem questions for AP Statistics, or explore more Statistics topics.
Related questions
Complete the sampling rulesWhich has the smaller standard error?True or false: sampling distributionsMatch each sampling ideaThe standard error appears in calculator routines as a parameter alongside:Comparing the law of large numbers with the central limit theorem, the law of large numberA population that is already close to normal needs which sample size for the theorem to apRecognising a central limit theorem problem means spotting a question about: