Sampling Techniques MCQs 30 Score: 0 Attempted: 0/30 1. What is sampling in statistics? (A) The process of selecting a subset of individuals from a population (B) The process of studying every population member (C) The process of arranging data in tables (D) The process of calculating averages 2. What is a population in statistical research? (A) A small group selected for study (B) The entire group of individuals or items under investigation (C) A collection of sample observations only (D) A group of researchers 3. What is a sample? (A) The entire population (B) A selected subset of a population (C) A statistical formula (D) A method of data presentation 4. What is the main purpose of sampling? (A) To study a population efficiently using a smaller group (B) To eliminate all research errors (C) To avoid collecting information (D) To increase population size 5. Which sampling method gives every population member an equal chance of selection? (A) Convenience sampling (B) Simple random sampling (C) Judgment sampling (D) Quota sampling 6. Which sampling technique involves selecting every kth member from a population list? (A) Cluster sampling (B) Systematic sampling (C) Snowball sampling (D) Purposive sampling 7. What is stratified random sampling? (A) Dividing a population into subgroups and selecting samples from each subgroup (B) Selecting participants only from one location (C) Selecting participants based on personal convenience (D) Choosing participants through referrals 8. What is the main purpose of stratified sampling? (A) To ensure representation of important population subgroups (B) To eliminate the need for a population list (C) To select only the largest group (D) To avoid random selection completely 9. Which sampling method involves dividing a population into clusters and selecting some clusters for study? (A) Simple random sampling (B) Cluster sampling (C) Quota sampling (D) Convenience sampling 10. What is the major difference between stratified and cluster sampling? (A) Stratified sampling selects from each stratum, while cluster sampling selects certain clusters (B) Both methods always select the same individuals (C) Cluster sampling requires no population groups (D) Stratified sampling is always non-random 11. What is multistage sampling? (A) Sampling carried out in several successive stages (B) Sampling from only one individual (C) Selecting participants without any plan (D) Studying the entire population 12. Which of the following is a non-probability sampling technique? (A) Simple random sampling (B) Systematic sampling (C) Convenience sampling (D) Stratified random sampling 13. What is convenience sampling? (A) Selecting participants who are easily accessible (B) Selecting every population member (C) Selecting participants through a random lottery (D) Dividing the population into equal groups 14. What is purposive sampling? (A) Selecting participants based on the researcher's judgment and study purpose (B) Selecting participants entirely by chance (C) Selecting every tenth individual (D) Selecting participants from every geographical region randomly 15. Which sampling method is particularly useful for studying hard-to-reach populations? (A) Snowball sampling (B) Simple random sampling (C) Systematic sampling (D) Stratified sampling 16. What happens in snowball sampling? (A) Existing participants help researchers identify additional participants (B) Participants are selected through a lottery (C) Every population member is included (D) Participants are selected according to alphabetical order 17. What is quota sampling? (A) Selecting participants until predetermined subgroup quotas are filled (B) Selecting participants entirely through random numbers (C) Selecting only the most educated individuals (D) Selecting every member of the population 18. What is probability sampling? (A) A sampling approach in which population members have known chances of selection (B) A sampling approach based only on personal opinions (C) A method that excludes random selection (D) A method that studies only volunteers 19. What is non-probability sampling? (A) A method in which selection probabilities are not known or based on random selection (B) A method in which every individual has an equal chance (C) A method based entirely on lottery selection (D) A method that always represents the entire population 20. What is sampling error? (A) The difference between a sample estimate and the corresponding population value due to sampling (B) An error caused only by incorrect spelling (C) A mistake in data entry only (D) A failure to prepare research objectives 21. What is sampling bias? (A) A systematic error caused by an unrepresentative selection process (B) A random variation in sample observations (C) An increase in population size (D) A method of selecting equal sample groups 22. What is a sampling frame? (A) A list or source identifying the population members eligible for selection (B) A statistical graph of sample results (C) A method of calculating averages (D) A list of research conclusions 23. What is a representative sample? (A) A sample that adequately reflects important characteristics of the population (B) A sample containing only the largest individuals (C) A sample selected entirely by convenience (D) A sample containing only volunteers 24. What is the main advantage of probability sampling? (A) It supports statistical generalization and estimation of sampling error (B) It always eliminates all research errors (C) It requires no sampling frame in every case (D) It guarantees identical sample and population values 25. Which sampling technique is commonly used when a population is geographically spread across different areas? (A) Cluster sampling (B) Convenience sampling (C) Judgment sampling (D) Quota sampling 26. What is voluntary response sampling? (A) A method in which individuals choose themselves to participate (B) A method in which participants are selected by lottery (C) A method in which every individual is contacted personally (D) A method based on fixed geographical clusters 27. Which factor generally affects the required sample size in a research study? (A) Population variability and desired precision (B) Researcher's favorite subject (C) Alphabetical order of participants (D) Color of the questionnaire 28. What is the main purpose of a pilot survey before conducting a large-scale survey? (A) To test research procedures and identify possible problems (B) To replace the final research study (C) To increase the population size (D) To eliminate the need for sampling 29. Which sampling method is most appropriate when researchers need participants with specific knowledge or experience? (A) Purposive sampling (B) Simple random sampling (C) Systematic sampling (D) Cluster sampling 30. What is the most important characteristic of a good sampling design? (A) It should provide a suitable and representative sample for the research objectives (B) It should always select the smallest possible sample (C) It should avoid defining the target population (D) It should include only easily available participants