Answer:
a. The sampling distribution of the sample mean will have a smaller standard deviation than the population.
c. The sampling distribution of the sample mean will be skewed right.
Explanation:
The mean refers to the average of a set of data which is the summation of all numbers in the data set divided by the number of values in the set.
Standard deviation is a measure that shows the extent to which each numbers in the data set is different form the value of the mean of a set of data.
Skewness is the asymmetry in or the degree of variation of a specific distribution from a normal distribution of a set of data. It is usually shown by using a symmetrical bell curve, and the curve is considered to be skewed when it is shifted to the right or left.
Since a sample of 5 household will result in a mean and standard deviation of expenses which are less than $38,500 and $10,500 respectively for the population, the sampling distribution of the sample mean will have a smaller standard deviation than the population, and the sampling distribution of the sample mean will be skewed right.