Y12 1.03 Types of Samples

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What is a random sample?

Back

A random sample is a subset of individuals chosen from a larger set, where each individual has an equal chance of being selected.

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How is a random sample obtained?

Back

By giving every member an equal chance of being selected.

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What is convenience sampling?

Back

Convenience sampling is a non-probability sampling technique where members are selected based on their easy availability and proximity to the researcher.

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What is a potential drawback of convenience sampling?

Back

It often leads to biased results.

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What is cluster sampling?

Back

Cluster sampling is a sampling technique where the population is divided into clusters, and entire clusters are randomly selected.

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What is the purpose of dividing a population into clusters for sampling?

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To make the sampling process more cost-effective and efficient.

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What is a sampling error?

Back

The difference between the results of a sample and the actual population.

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How can researchers obtain a random sample using technology?

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By using a random number table.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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What is the main advantage of random sampling?

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It minimizes bias and allows for generalization of results to the larger population.