Final answer:
Stratified sampling is one of the ways to eliminate nonsampling risk. It involves dividing the population into groups called strata and selecting a sample from each stratum.
Step-by-step explanation:
One of the ways to eliminate nonsampling risk is through stratified sampling. In stratified sampling, the population is divided into groups called strata, based on certain characteristics. Then, a sample is selected by randomly choosing individuals from each stratum.
For example, let's say you want to conduct a survey about favorite ice cream flavors among high school students. Instead of randomly selecting students from the entire population, you can divide the students into different grade levels (strata) and then randomly select a sample from each grade level.
This ensures that the sample is representative of the entire population. By using stratified sampling, you can reduce the risk of missing important subgroups in the population and increase the accuracy of your results.