If the central limit theorem is applicable this means that the sampling distribution of a
Answer:
normal distribution
The central limit theorem (CLT) states that the distribution of sample means approximates a normal distribution as the sample size gets larger, regardless of the population’s distribution. Sample sizes equal to or greater than 30 are often considered sufficient for the CLT to hold.
Explanation:
