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  2. Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Simple_random_sample

    In statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for ...

  3. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...

  4. Sampling (statistics) - Wikipedia

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

    Sampling (statistics) 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. The subset is meant to reflect the whole population and statisticians ...

  5. Systematic sampling - Wikipedia

    en.wikipedia.org/wiki/Systematic_sampling

    In one-dimensional systematic sampling, progression through the list is treated circularly, with a return to the top once the list ends. The sampling starts by selecting an element from the list at random and then every k th element in the frame is selected, where k , is the sampling interval (sometimes known as the skip ): this is calculated ...

  6. Selection algorithm - Wikipedia

    en.wikipedia.org/wiki/Selection_algorithm

    Selection algorithm. In computer science, a selection algorithm is an algorithm for finding the th smallest value in a collection of ordered values, such as numbers. The value that it finds is called the th order statistic. Selection includes as special cases the problems of finding the minimum, median, and maximum element in the collection.

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  8. Shrinkflation hits 1 in 3 grocery items, including these ...

    www.aol.com/shrinkflation-hits-1-3-grocery...

    Family-sized Frosted Flakes, made by Kellogg's, has slimmed from 24 ounces to 21.7 ounces, resulting in a 40% increase in per-ounce pricing, the analysis found. About 38% of candy items are now ...

  9. Reservoir sampling - Wikipedia

    en.wikipedia.org/wiki/Reservoir_sampling

    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.