Q1.What is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean?

Q2.List the reasons for sampling. Give an example of each reason for sampling.

Q3.Information from the American Institute of Insurance indicates the mean amount of life insurance per household in the United States is $110,000. This distribution follows the normal distribution with a standard deviation of $40,000.

1. If we select a random sample of 50 households, what is the standard error of the mean?

2. What is the expected shape of the distribution of the sample mean?

3. What is the likelihood of selecting a sample with a mean of at least $112,000?

4. What is the likelihood of selecting a sample with a mean of more than $100,000?

5. Find the likelihood of selecting a sample with a mean of more than $100,000 but less than $112,000.