The central limit theorem states that the sampling distribution of the sample mean approaches the ‘X’ distribution, as the sample size gets larger, no matter what the shape of the population is, then ‘X’ is
Answer & explanation
Correct answer: option 2
The correct answer is Option (2) → Normal distribution
The central limit theorem says that, for a large enough sample, the distribution of the sample mean is approximately normal, whatever the shape of the population. This is why the normal distribution is used for confidence intervals and tests on means.
CBSE Applied Mathematics (Class XII):
Central Limit Theorem
