Selection of the sample is made by interviewer who has quotas to fill.

• A. Systematic random sampling
• B. Quota sampling
• C. Simple random sampling
• D. Stratified random sampling

Answer: (B)

The main idea tested here is how a sample is chosen when the interviewer has quotas to fill. In quota sampling, researchers set target numbers for different subgroups (such as by gender, age, or region) and the interviewer selects respondents to meet those quotas. This means the selection is driven by meeting the category counts rather than by random choice, so some people in the population may have little or no chance of being chosen.

This differs from probability-based methods where each person has a known chance of being included. Techniques like systematic random sampling pick every kth person from a list after a random start, simple random sampling gives everyone an equal chance, and stratified random sampling divides the population into subgroups and then samples randomly within each subgroup. Those rely on randomness to avoid bias, whereas quota sampling relies on filling predefined quotas, which can introduce bias but can be faster and cheaper to carry out.