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In set theory, a dichotomous relation R is such that either aRb, bRa, but not both. [1] A false dichotomy is an informal fallacy consisting of a supposed dichotomy which fails one or both of the conditions: it is not jointly exhaustive and/or not mutually exclusive. In its most common form, two entities are presented as if they are exhaustive ...
Examples of closed-ended questions that may elicit a "yes" or "no" response include: Were you born in 2010? Is Lyon the capital of France? Did you steal the money? Similarly, variants of the above closed-ended questions that possess specific responses are: On what day were you born? ("Saturday.") What is the capital of France? ("Paris.")
In computer science, a dichotomic search is a search algorithm that operates by selecting between two distinct alternatives (dichotomies [1] or polychotomies [2] when they are more than two) at each step. It is a specific type of divide and conquer algorithm. A well-known example is binary search. [3]
The Cauchy distribution, an example of a distribution which does not have an expected value or a variance. In physics it is usually called a Lorentzian profile, and is associated with many processes, including resonance energy distribution, impact and natural spectral line broadening and quadratic stark line broadening.
A branching identification key within taxonomy (the practice and science of categorization or classification), is a presentation form of a single-access key where the structure of the decision tree is displayed graphically as a branching structure, involving lines between items. [1]
When categorical data has only two possibilities, it is called binary or dichotomous. [1] Assumptions, parametric and non-parametric: There are two groups of statistical tests, parametric and non-parametric. The choice between these two groups needs to be justified.
In biology or medicine, a multi-access key is an identification key which overcomes the problem of the more traditional single-access keys (dichotomous or polytomous identification keys) of requiring a fixed sequence of identification steps.
A common measure of dichotomous thinking is the cliff effect. [1] A reason to avoid dichotomous thinking is that p-values and other statistics naturally change from study to study due to random variation alone; [2] [3] decisions about refutation or support of a scientific hypothesis based on a result from a single study are therefore not ...
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