Chapter 10: Sampling

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What is a biased sample?

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A biased sample is a sample that does not accurately represent the population from which it is drawn, often due to the method of selection.

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What is a convenience sample?

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A convenience sample is a type of non-probability sampling where the sample is taken from a group that is easily accessible, which may lead to bias.

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What is a volunteer sample?

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A volunteer sample is a sampling method where participants self-select to be part of the study, which can introduce bias as only those interested may participate.

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What is a random sample?

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A random sample is a sampling method where every member of the population has an equal chance of being selected, reducing bias.

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What is a systematic sample?

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A systematic sample is a sampling method where every nth member of the population is selected, providing a structured approach to sampling.

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What is a stratified sample?

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A stratified sample is a sampling method that involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

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What is simple random sampling?

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Simple random sampling is a method where each member of the population has an equal chance of being selected, often achieved through random number generation.

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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 from the data.

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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 and can be analyzed statistically.

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What is sampling error?

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Sampling error is the difference between the sample statistic and the actual population parameter, which can occur due to the sample not being representative.

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