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 make inferences about that population.

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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 learn about.

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What does biased sampling mean?

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Biased sampling occurs when certain members of a population are more likely to be selected than others, leading to unrepresentative results.

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What does unbiased sampling mean?

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Unbiased sampling occurs when every member of a population has an equal chance of being selected, leading to more accurate and representative results.

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What is a random sample?

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A random sample is a sample that is selected from a population in such a way that every individual has an equal chance of being chosen.

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What is a convenience sample?

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A convenience sample is a type of non-random sampling where individuals are selected based on their easy availability.

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Why is it important to have a representative sample?

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A representative sample accurately reflects the characteristics of the population, allowing for valid conclusions to be drawn.

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What is sampling bias?

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Sampling bias occurs when the sample collected is not representative of the population, leading to skewed 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 in the context of sampling?

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A survey is a method of collecting data from a sample to gather information about the population.