Sampling Techniques

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What is a Systematic Sample?

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A sampling method where every nth individual is selected from a list or sequence. For example, selecting every 3rd student entering a library.

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What is a Random Sample?

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A sample where every individual in a population has an equal chance of being included. This ensures that the sample is representative of the population.

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What is a Cluster Sample?

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A sampling technique where the population is divided into groups (clusters) and entire clusters are randomly selected. For example, selecting all students from specific groups in a classroom.

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What is a Simple Random Sample?

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A sampling method where each member of the population has an equal chance of being selected, often achieved using random number generators.

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What is a Convenience Sample?

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A non-random sampling method where individuals are selected based on their easy availability and proximity to the researcher.

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What is the difference between Stratified and Cluster Sampling?

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Stratified sampling involves dividing the population into subgroups and sampling from each, while cluster sampling involves selecting entire groups from the population.

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What is Bias in Sampling?

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Bias occurs when certain members of the population are systematically favored over others in the selection process, leading to unrepresentative samples.

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What is the purpose of using a Random Number Generator in sampling?

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To ensure that each individual in a population has an equal chance of being selected, thus creating a Simple Random Sample.

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What is the importance of sample size in research?

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Larger sample sizes generally lead to more reliable and valid results, reducing the margin of error and increasing the confidence in the findings.

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What is a Stratified Sample?

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.