Sampling and Types of Sampling Quiz

What is the difference between population and sample?

• Population refers to a small group selected from a larger group, while sample refers to the entire group.

• Population and sample are the same thing.

• Population and sample are unrelated terms.

• Population refers to the entire group, while sample refers to a small group selected from the larger group.

What is the purpose of sampling in research?

• To collect data from every individual in the population.

• To reduce cost, workload, and obtain high-quality information.

• To investigate every individual in the population.

• To ensure a biased selection process.

What is probability sampling based on?

• Judgment of the researcher.

• Random selection without any criteria.

• Convenience and other criteria.

• Known and equal chance of every member of the population being selected.

Which type of sampling involves selecting a sample based on convenience?

• Simple random sampling

• Systematic sampling

• Cluster sampling

• Convenience sampling

What is the main drawback of nonprobability sampling?

• It requires a large sample size.

• It is expensive and time-consuming.

• It is biased and unreliable.

• It cannot make valid statistical inferences about the population.

What is the purpose of quota sampling?

• To select a sample based on the researcher's judgment.

• To take a tailored sample in proportion to certain characteristics of the population.

• To select a sample based on convenience.

• To randomly select a cluster of elements from a population.

What is the other name for snowball sampling?

• Accidental sampling

• Network sampling

• Judgmental sampling

• Systematic sampling

Which type of sampling involves dividing the population into separate groups called clusters?

• Cluster sampling

• Systematic sampling

• Simple random sampling

• Stratified sampling

What is the purpose of stratified sampling?

• To select a sample based on convenience.

• To randomly select a cluster of elements from a population.

• To take a tailored sample in proportion to certain characteristics of the population.

• To select a sample based on the researcher's judgment.

Which type of sampling relies on the researcher's judgment?

• Purposive sampling

• Quota sampling

• Snowball sampling

• Convenience sampling