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  2. Replicate - Wikipedia

    en.wikipedia.org/wiki/Replicate

    Replicate may refer to: Replicate (biology) , the exact copy resulting from self-replication of genetic material, a cell, or an organism Replicate (statistics) , a fully repeated experiment or set of test conditions.

  3. Reproducibility - Wikipedia

    en.wikipedia.org/wiki/Reproducibility

    Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.

  4. Replication (statistics) - Wikipedia

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

    Example of direct replication and conceptual replication. There are two main types of replication in statistics. First, there is a type called “exact replication” (also called "direct replication"), which involves repeating the study as closely as possible to the original to see whether the original results can be precisely reproduced. [3]

  5. Replication - Wikipedia

    en.wikipedia.org/wiki/Replication

    Replication (scientific method), one of the main principles of the scientific method, a.k.a. reproducibility Replication (statistics), the repetition of a test or complete experiment; Replication crisis; Self-replication, the process in which an entity (a cell, virus, program, etc.) makes a copy of itself

  6. Reproduction - Wikipedia

    en.wikipedia.org/wiki/Reproduction

    By asexual reproduction, an organism creates a genetically similar or identical copy of itself. The evolution of sexual reproduction is a major puzzle for biologists. The two-fold cost of sexual reproduction is that only 50% of organisms reproduce [1] and organisms only pass on 50% of their genes. [2]

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  8. Replication crisis - Wikipedia

    en.wikipedia.org/wiki/Replication_crisis

    For example, if one collects some data, applies several different significance tests to it, and publishes only the one that happens to have a p-value less than 0.05, then the total p-value for "at least one significance test reaches p < 0.05" can be much larger than 0.05, because even if the null hypothesis were true, the probability that one ...

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