Sampling Techniques and Vocab Review

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What is Stratified Sampling?

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A sampling technique 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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A sampling method where you select every nth individual from a list or sequence.

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What is Simple Random Sampling?

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A sampling technique where every individual has an equal chance of being selected, often done using random number generators.

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What is Cluster Sampling?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected.

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Define Population in the context of sampling.

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The entire group of individuals or instances about whom we hope to learn.

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What is a Sample?

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A subset of the population selected for analysis.

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What is the difference between Population and Sample?

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Population includes all members of a defined group, while a sample is a smaller group selected from that population.

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What is the purpose of Sampling Techniques?

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To gather data and make inferences about a population without surveying every individual.

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What is a Random Number Generator?

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A tool used to select random samples from a population, ensuring each individual has an equal chance of being chosen.

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What is the importance of Random Sampling?

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It helps to eliminate bias in the selection process, leading to more accurate and reliable results.