Random Sampling

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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 to eliminate bias in the selection process, ensuring that the sample accurately represents the population.

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What is a biased sample?

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A biased sample is one that does not accurately reflect the characteristics of the population from which it is drawn, leading to skewed results.

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What is the difference between a random sample and a convenience sample?

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A random sample is selected using a method that gives all individuals an equal chance of being chosen, while a convenience sample is selected based on ease of access, which may introduce bias.

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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 to ensure representation.

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list or sequence, starting from a random point.

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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 a sample size?

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Sample size refers to the number of individuals included in a sample, which can affect the reliability and validity of survey results.

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What is the significance of selecting a representative sample?

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Selecting a representative sample is crucial because it ensures that the findings of the survey can be generalized to the larger population.

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What is the role of randomness in sampling?

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Randomness in sampling helps to ensure that every individual has an equal chance of being selected, reducing the risk of bias.