Representative and Biased Samples

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What is a representative sample?

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A representative sample is a subset of a population that accurately reflects the members of the entire population.

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What is a biased sample?

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A biased sample is a subset of a population that does not accurately reflect the members of the entire population, leading to skewed results.

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Why is it important to have a representative sample?

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A representative sample is important because it ensures that the results of a survey or study 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 a population are more likely to be selected for a sample than others, leading to an unrepresentative sample.

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How can surveys be biased?

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Surveys can be biased if they are only sent to a specific group, if the questions are leading, or if participation is voluntary.

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What is random sampling?

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Random sampling is a technique where every member of a population has an equal chance of being selected for the sample.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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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 easy to reach, which can lead to bias.

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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 values and 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, behaviors, or characteristics.