Sampling Techniques and Bias Analysis

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What is the definition of sampling techniques?

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Sampling techniques are methods used to select a subset of individuals from a population to estimate characteristics of the whole population.

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What is the purpose of stratified sampling?

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Stratified sampling aims to ensure that specific subgroups within a population are adequately represented in the sample.

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What is the difference between random sampling and stratified sampling?

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Random sampling gives each member of the population an equal chance of being selected, while stratified sampling divides the population into homogeneous groups and takes a random sample from each group.

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What is bias in sampling?

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Bias in sampling refers to systematic errors that lead to an inaccurate representation of the population.

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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.

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What is cluster sampling?

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Cluster sampling involves dividing the population into clusters (groups) and then randomly selecting entire clusters to sample.

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which may lead to biased results.

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What is the formula for the standard deviation of the sum of two independent random variables X and Y?

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What is the importance of ensuring that probabilities add up to 1 in a probability distribution?

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Ensuring that probabilities add up to 1 is crucial because it confirms that all possible outcomes are accounted for in the distribution.