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:**