Sampling and Bias

Front

What is Sampling?

Back

Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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What is a Sample?

Back

A sample is a smaller group selected from a larger population, used to make inferences about the population.

Front

What is Bias in Sampling?

Back

Bias in sampling occurs when certain members of the population are more likely to be selected than others, leading to an inaccurate representation.

Front

Define Simple Random Sampling.

Back

Simple random sampling is a sampling method where every member of the population has an equal chance of being selected.

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Define Systematic Sampling.

Back

Systematic sampling is a method where you select every nth individual from a list or sequence.

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Define Stratified Sampling.

Back

Stratified sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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Define Cluster Sampling.

Back

Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters for the sample.

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What is the Population in a study?

Back

The population is the entire group of individuals or instances about whom we hope to learn.

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What is a Sampling Frame?

Back

A sampling frame is a list or database from which a sample is drawn, representing the population.

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What is Non-Response Bias?

Back

Non-response bias occurs when individuals selected for the sample do not respond, potentially skewing results.