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  2. Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Simple_random_sample

    Simple random sampling merely allows one to draw externally valid conclusions about the entire population based on the sample. The concept can be extended when the population is a geographic area. [4] In this case, area sampling frames are relevant. Conceptually, simple random sampling is the simplest of the probability sampling techniques.

  3. Randomization - Wikipedia

    en.wikipedia.org/wiki/Randomization

    Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups. [1] [2] [3] The process is crucial in ensuring the random allocation of experimental units or treatment protocols, thereby minimizing selection bias and enhancing the statistical validity. [4]

  4. Sampling probability - Wikipedia

    en.wikipedia.org/wiki/Sampling_probability

    In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample. [1] For example, in simple random sampling the probability of a particular ...

  5. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

  6. Simple random samples - Wikipedia

    en.wikipedia.org/?title=Simple_random_samples&...

    Pages for logged out editors learn more. Contributions; Talk; Simple random samples

  7. Random-sampling mechanism - Wikipedia

    en.wikipedia.org/wiki/Random-sampling_mechanism

    A random-sampling mechanism (RSM) is a truthful mechanism that uses sampling in order to achieve approximately-optimal gain in prior-free mechanisms and prior-independent mechanisms. Suppose we want to sell some items in an auction and achieve maximum profit. The crucial difficulty is that we do not know how much each buyer is willing to pay ...

  8. Reservoir sampling - Wikipedia

    en.wikipedia.org/wiki/Reservoir_sampling

    Reservoir sampling is a family of randomized algorithms for choosing a simple random sample, without replacement, of k items from a population of unknown size n in a single pass over the items. The size of the population n is not known to the algorithm and is typically too large for all n items to fit into main memory .

  9. Talk:Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Talk:Simple_random_sample

    Based on the general Random Sampling article, it appears that simple random sampling is a specific kind of random sampling, not a distinct process as that sentence implies. I suggest clarifying this example by explicitly stating that it is simple random sampling, and changing the sentence in the first paragraph to convey that simple random ...