Answer:
29
Explanation:
Central limit theorem states that as a sample being studied grows larger the sampling distribution of samplings means tends to a more normal distribution. This is regardless of the shape of the population.
This holds true usually if the population size is n is equal or greater than 30 (that is greater than 29). It does not matter if the population is skewed or normal.
So with a sufficiently large population the means of each item will be the same as the population mean.