Which of the following statements is true of sampling error? Group of answer choices It occurs when a sample somehow does not represent the target population. It occurs when the selected sample is an imperfect representation of the overall population. It occurs when there is a measured difference between the information desired and the information provided. It occurs when the sample drawn from a population differs from the target population

Sampling error occurs when a sample somehow does not represent the target population.

Answer:

Statement (A) is true

Explanation:

Sample means a small group selected from a large group. The large group from which a sample is selected is called the population. Basically a sample is selected to draw conclusions regarding population because it is not possible to study the entire sample. But if sample sample does not represent the target population then our conclusions will not be accurate. This will give rise to sampling errors.

If occurs when sample is biased. So we need to be very careful while selecting a sample. It must represent the entire population not just a part of population.

Sampling error can be reduced by increasing the size of population, dividing population in groups, select appropriate population.

Sampling error occur when population is not correct as per our requirement, or when sample is selected randomly. It may also occur when sample selected does not respond, at that time it becomes difficult to draw conclusions regarding population.