Sampling Methods Quiz

What is the purpose of taking a sample from a population of interest?

• To ignore the population completely

• To select a few objects for observation

• To create bias in the study

• To measure all objects in the population

What is an unbiased sample?

• A sample that includes only red objects

• A sample that is representative of the population

• A sample that is easy to obtain

• A sample that is randomly selected

What is the main advantage of simple random sampling?

• It is cheap and quick to implement

• It guarantees a representative sample

• It requires a detailed sampling frame

• It is biased towards certain objects

What is convenience sampling based on?

• Random selection of objects

• Including all objects in the sample

• Systematic selection of objects

• Choosing what is easy or convenient

How is systematic sampling different from simple random sampling?

• It is more biased towards certain objects

• It includes all objects in the sample

• It involves random selection of objects

• It selects objects at a fixed interval

What is cluster sampling based on?

• Choosing what is easy or convenient

• Selecting objects at a fixed interval

• Dividing the population into clusters and choosing them randomly

• Including all objects in the sample

What is the main characteristic of stratified sampling?

• It chooses groups to represent different characteristics

• It divides the population into clusters

• It is based on convenience

• It involves selecting objects at a fixed interval

What is the advantage of stratified sampling?

• It is easy and cheap to implement

• It requires a detailed sampling frame

• It guarantees a random sample

• It leads to a very good representative sample

What should be taken into account if a sample has known bias?

• Conduct a new study with a different sample

• Adjust for the bias in analysis and reporting

• Ignore the bias in analysis and reporting

• Increase the sample size to reduce bias

What is the main challenge of simple random sampling when dealing with people?

• It is difficult and expensive to implement

• It is biased towards certain individuals

• It leads to self-selection bias

• It requires a detailed sampling frame