Sampling Method

In statistics, what does the term population refer to?

• A subset of individuals selected for the study.

• The number of participants in the study.

• The entire group of individuals or items that a researcher is interested in studying.

• The specific method used to select participants.

Which of the following best describes a sample in a research study?

• The statistical analysis method used in the research.

• A smaller group chosen from the population to gather data from.

• The characteristic being measured in the study.

• The total number of units in the population.

What does sample size (n) refer to?

• The total number of distinct groups in the population.

• The expected average value of the data.

• The number of individual observations or subjects included in the sample.

• The number of variables being measured in the study.

A teacher wants to select 5 students randomly from her class of 30. She writes each student's name on a separate slip of paper, puts them in a box, mixes them well, and draws out 5 slips. What type of sampling is this?

• Systematic sampling

• Cluster sampling

• Simple random sampling

• Stratified sampling

A factory inspects every 50th item that comes off the production line. If the first item to be inspected is chosen randomly, what type of sampling is being used?

• Stratified sampling

• Purposive sampling

• Systematic sampling

• Simple random sampling

A researcher wants to survey residents of Kulai about their household spending. They divide the residents into three income brackets (low, medium, high) and then randomly select a proportional number of households from each bracket. What type of sampling is this?

• Systematic sampling

• Simple random sampling

• Stratified sampling

• Snowball sampling

The Johor State Health Department wants to conduct a rapid health assessment. They randomly select 5 villages in a district and then survey every household in those 5 selected villages. What type of sampling is being used?

• Cluster sampling

• Stratified sampling

• Purposive sampling

• Systematic sampling

What is a key advantage of simple random sampling?

• It minimizes bias by giving every member an equal chance of selection.

• It is the most expensive and complex method to implement.

• It is primarily used for hidden or hard-to-reach populations.

• It ensures every subgroup is perfectly represented.

Why would a researcher choose to use stratified sampling?

• It ensures that specific subgroups are adequately represented in the sample, especially important for comparing groups.

• It is the best method when no complete list of the population is available.

• It is the easiest method to implement for very large, dispersed populations.

• It guarantees a perfectly representative sample in all cases.

In which situation would cluster sampling be the most practical choice?

• When you need to interview individuals with very specific, rare expertise.

• When you want to give every individual an exactly equal chance of selection.

• When the population is naturally divided into geographically distinct, heterogeneous groups.

• When you need to ensure proportional representation of specific subgroups.