Sampling Methods Practice

Front

What is systematic sampling?

Back

Systematic sampling is a method where you select every nth individual from a list or sequence, such as interviewing every 10th student.

Front

Define simple random sampling.

Back

Simple random sampling is a method where each member of the population has an equal chance of being selected, often achieved by assigning numbers and using random number tables.

Front

What is convenience sampling?

Back

Convenience sampling is a non-probability sampling method where the sample is taken from a group that is easily accessible, such as selecting students closest to the teacher's desk.

Front

Explain cluster sampling.

Back

Cluster sampling involves dividing the population into groups (clusters) and then randomly selecting entire clusters to include in the sample.

Front

What is systematic random sampling?

Back

Systematic random sampling is a method where you select individuals at regular intervals from a randomly ordered list, such as surveying every 25th guest at a restaurant exit.

Front

What are the advantages of systematic sampling?

Back

Advantages of systematic sampling include simplicity and ease of implementation, as well as ensuring a spread across the population.

Front

What are the disadvantages of convenience sampling?

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Disadvantages of convenience sampling include potential bias and lack of representativeness, as it may not accurately reflect the entire population.

Front

How does cluster sampling differ from stratified sampling?

Back

Cluster sampling selects entire groups randomly, while stratified sampling divides the population into subgroups and samples from each subgroup.

Front

What is the purpose of using random number tables in sampling?

Back

Random number tables are used to ensure that each member of the population has an equal chance of being selected, thus minimizing bias.

Front

What is the main goal of sampling in research?

Back

The main goal of sampling is to obtain a representative subset of a population to make inferences about the entire population.