Statistical Sampling techniques

If a researcher uses multistage sampling, what is the primary characteristic of this technique?

• It only samples from one subgroup of the population.
• It selects individuals based on specific characteristics.
• It combines multiple sampling methods at different stages.
• It requires a complete list of the population.

Which of the following best describes simple random sampling?

• Every member of the population has an equal chance of being selected.
• Members are selected based on specific characteristics.
• Clusters of the population are randomly chosen for sampling.
• A fixed interval is used to select members from a list.

Why is a complete sampling frame crucial for effective simple random sampling?

• It allows for the random selection of clusters.
• It ensures that every member of the population can be selected.
• It eliminates the need for random number generators.
• It simplifies the sampling process.

What potential bias might arise from using cluster sampling?

• It requires a larger sample size than simple random sampling.
• It is difficult to implement in urban areas.
• It is more time-consuming than other methods.
• It may not accurately represent the entire population.

In cluster sampling, what happens after clusters are randomly selected?

• Clusters are further divided into smaller groups for sampling.
• A random sample is drawn from each member of the population.
• All members of the selected clusters are included in the sample.
• Only a few members from each cluster are sampled.

If a researcher wanted to ensure equal representation of different age groups in a study, which sampling technique would be most appropriate?

• Systematic sampling.
• Cluster sampling.
• Stratified sampling.
• Simple random sampling.

What is a key advantage of stratified sampling?

• It ensures that all subgroups are represented in the sample.
• It eliminates the need for a sampling frame.
• It is the simplest form of sampling.
• It requires less time to implement than other methods.

In what scenario would stratified sampling be most beneficial?

• When time and resources are limited.
• When the population has distinct subgroups that need representation.
• When the researcher wants to avoid any form of bias.
• When the population is homogeneous and does not have distinct subgroups.

What is the primary purpose of using systematic sampling?

• To create a complete list of the population.
• To randomly select clusters from the population.
• To ensure that all members of the population are included.
• To simplify the selection process by using a fixed interval.

How does systematic sampling differ from simple random sampling?

• Systematic sampling is less biased than simple random sampling.
• Systematic sampling requires a complete list of the population, while simple random sampling does not.
• Systematic sampling is only applicable to small populations.
• Systematic sampling selects every k-th individual, while simple random sampling does not follow a fixed interval.