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  2. Pseudoreplication - Wikipedia

    en.wikipedia.org/wiki/Pseudoreplication

    Replication increases the precision of an estimate, while randomization addresses the broader applicability of a sample to a population. Replication must be appropriate: replication at the experimental unit level must be considered, in addition to replication within units.

  3. Replication (statistics) - Wikipedia

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

    In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions. It is a crucial step to test the original claim and confirm or reject the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]

  4. 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.

  5. Replication crisis - Wikipedia

    en.wikipedia.org/wiki/Replication_crisis

    The phrase replication crisis was coined in the early 2010s [6] as part of a growing awareness of the problem. Considerations of causes and remedies have given rise to a new scientific discipline, metascience, [7] which uses methods of empirical research to examine empirical research practice. [8]

  6. Completely randomized design - Wikipedia

    en.wikipedia.org/wiki/Completely_randomized_design

    For example, if there are 3 levels of the primary factor with each level to be run 2 times, then there are 6! (where ! denotes factorial) possible run sequences (or ways to order the experimental trials). Because of the replication, the number of unique orderings is 90 (since 90 = 6!/(2!*2!*2!)). An example of an unrandomized design would be to ...

  7. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    The calculation of likelihood ratios for tests with continuous values or more than two outcomes is similar to the calculation for dichotomous outcomes; a separate likelihood ratio is simply calculated for every level of test result and is called interval or stratum specific likelihood ratios. [6]

  8. 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

  9. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    Then its sign equals the sign of the product of the main diagonal elements of the table minus the product of the off–diagonal elements. φ takes on the minimum value −1.0 or the maximum value of +1.0 if and only if every marginal proportion is equal to 0.5 (and two diagonal cells are empty).