Random Sampling

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What is random sampling?

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Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

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Why is random sampling important?

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Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.

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What is a representative sample?

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A representative sample accurately reflects the characteristics of the larger population from which it is drawn.

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What is the difference between a random sample and a non-random sample?

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A random sample is selected using a method that gives all individuals an equal chance of being chosen, while a non-random sample does not use such a method, leading to potential bias.

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What is systematic sampling?

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

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What is convenience sampling?

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Convenience sampling is a non-random sampling method where individuals are selected based on their easy availability and proximity to the researcher.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups (strata) and then taking a random sample from each stratum.

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What is the purpose of surveying a random sample?

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The purpose of surveying a random sample is to gather data that can be generalized to the larger population.

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What is sampling bias?

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Sampling bias occurs when certain members of the population are systematically more likely to be selected than others, leading to an unrepresentative sample.

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What is the role of sample size in random sampling?

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Larger sample sizes generally lead to more reliable and valid results, as they better represent the population.