Random Sampling and Representative Samples

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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 representative sample?

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A representative sample is a subset of a population that accurately reflects the characteristics of the whole population.

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What is the difference between random sampling and convenience sampling?

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Random sampling involves selecting individuals randomly from the population, while convenience sampling involves selecting individuals who are easiest to reach.

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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 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 the purpose of conducting a survey?

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The purpose of conducting a survey is to gather information or opinions from a group of people to understand trends, preferences, or behaviors.

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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 role of sample size in surveys?

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Sample size affects the accuracy and reliability of survey results; larger samples generally provide more reliable data.

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What is a sampling frame?

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A sampling frame is a list or database from which a sample is drawn, representing the population.