What is the purpose of sampling?
A) Make generalization about the population.
B) Be more meaningful and worthwhile.
C) Make generalization about poverty.
D) Make generalizations about unemployment.

Hint: In this question, it has been asked the purpose of sampling out of the four given options. Read the options once and read about what sampling is. After understanding about sampling, check the options as to which option is the nearest. That option will be the answer.

Complete step-by-step solution:
It has been asked in the question what is the purpose of sampling? In order to answer the question, we must know what is sampling. Before answering the question, let us know about sampling in brief.
What is sampling?
Sampling is a way to collect data from a small part of the population, instead of collecting it from the entire population as it is neither economical, nor possible. Through sampling, the characteristics of the entire whole can be judged by examining only a part of it. Hence, its purpose is to provide qualitative or quantitative information about the whole by examining only a part of the whole. Sampling takes an estimate of the thoughts of the population. Many errors arise due to this estimation. The actual calculations are very different from the estimated ones. These errors are called sampling errors. These can be corrected by taking a larger sample.
Looking from the explanation, it can be derived that sampling is used to gather information about the population.

Hence, our answer is option (A) Make generalization about the population.

Note: Option (C) and (D) are not wrong. While collecting information about the population, poverty and unemployment are some of the topics about which information is collected. However, largely, all of this information is about the population. That is why, option (C) and (D) are discarded.