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 sample in statistics?

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A sample is a subset of individuals selected from a larger population used to estimate characteristics of the whole population.

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What is a population in statistics?

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

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What does it mean for a sample to be representative?

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

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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 method where samples are taken from a group that is easily accessible.

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What is stratified sampling?

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

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What is bias in sampling?

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Bias in sampling occurs when certain individuals or groups are more likely to be selected than others, leading to an unrepresentative sample.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.