Session 2: ASB Understanding Sampling Techniques

What is the main characteristic of random sampling?

• Selection is based on personal preference.

• Individuals are chosen randomly without any criteria.

• Every individual has an equal chance of being selected.

• Only a few individuals can be selected.

Which sampling method involves dividing the population into subgroups?

• Cluster sampling

• Random sampling

• Stratified sampling

• Systematic sampling

What is the primary goal of stratified sampling?

• To eliminate bias in the sampling process.

• To randomize the selection of participants.

• To minimize the sample size for efficiency.

• To ensure representation of specific subgroups in the sample.

In which sampling technique are participants selected based on their availability?

• Systematic sampling

• Random sampling

• Stratified sampling

• Convenience sampling

What is the difference between systematic and random sampling?

• Random sampling requires a fixed interval for selection.

• Systematic sampling is always more accurate than random sampling.

• Systematic sampling uses a fixed interval, whereas random sampling uses chance.

• Systematic sampling is a type of random sampling.

Which method is used when every member of the population has an equal chance of being selected?

• Stratified sampling

• Simple random sampling

• Systematic sampling

• Cluster sampling

In cluster sampling, what is the first step in the process?

• Define the population and identify the clusters.

• Analyze the data collected from previous studies.

• Conduct a survey within the identified clusters.

• Select a random sample from the population.

What is the main disadvantage of using convenience sampling?

• It ensures representation from all demographics.

• The main disadvantage of using convenience sampling is the potential for bias.

• It requires a large sample size.

• It is the most accurate sampling method.

Which sampling technique is best for ensuring representation of all subgroups?

• Random sampling

• Systematic sampling

• Convenience sampling

• Stratified sampling