21. What is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean?
According to Lind, Marchal, & Wathen, (2008) “Sampling error is the difference between a sample statistic and its corresponding population parameter,” (p.269). The value of the sampling error could be zero. If the value of the sampling error were zero, this would mean that the population had no un-uniform sample. For example, if I were to conduct a survey on the value of how much a McDonald’s hamburger cost in a population and all of the hamburgers in the population cost $2.00, the true proportion would be 100%.
22. List the reason for sampling. Give an example of each reason for sampling.
Too time consuming: It would be too time consuming and a waste of resources to take a survey of each individual in the United States to find out the average income of U.S. residents.
Cost could be prohibitive: Sending surveys to every individual in China to find out the average number of boys in Chinese families would cost too much money