Question

the central limit theorem may be used to conclude that the sampling distribution of means for any population is approximately normal provided that: the sample mean is 30 or more the standard error is 30 or more the standard score is 30 or more the sample size is 30 or more

Explanation:

The Central Limit Theorem states that if the sample size \(n\geq30\), the sampling distribution of the sample mean is approximately normal regardless of the shape of the population distribution. Standard score, standard error and sample - mean values are not relevant for the application condition of the Central Limit Theorem in terms of distribution normality approximation. It is the sample size that matters.

Answer:

the sample size is 30 or more