Samples and Populations

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What is a sample in statistics?

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A sample is a subset of individuals or items selected from a larger population, used to represent that population in statistical analysis.

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What is a population in statistics?

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A population is the entire group of individuals or items that we want to study or draw conclusions about.

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What is a biased sample?

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A biased sample is one that does not accurately represent the population, often due to the method of selection.

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What is an unbiased sample?

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An unbiased sample is one that accurately represents the population, allowing for valid conclusions to be drawn.

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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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Why is random selection important in sampling?

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Random selection helps ensure that every individual in the population has an equal chance of being chosen, reducing bias.

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What is stratified sampling?

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

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which can lead to biased results.

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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.

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What is a survey?

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A survey is a method of collecting data by asking people questions to gather information about their opinions or behaviors.