Population Sampling and Biased

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What is population sampling?

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Population sampling is the process of selecting a subset of individuals from a larger population to estimate characteristics of the whole population.

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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, leading to skewed results.

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What is an unbiased sample?

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An unbiased sample is a sample that accurately reflects the characteristics of the population, allowing for valid conclusions.

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Why is random sampling important?

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Random sampling is important because it minimizes bias and ensures that every individual has an equal chance of being selected, leading to more reliable 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 randomly from the population, 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.

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list of the population, ensuring a spread across the population.

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What is the purpose of sampling in research?

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The purpose of sampling is to gather data and make inferences about a larger population without needing to survey every individual.

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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 affects the accuracy and reliability of the results.

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What is a sampling error?

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