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As the opposite of valid: Validity (logic) , in logic, true premises cannot lead to a false conclusion Validity (statistics) , a measure which is measuring what it is supposed to measure
Although the basic principles are fairly similar, the treatment of synonyms in botanical nomenclature differs in detail and terminology from zoological nomenclature, where the correct name is included among synonyms, although as first among equals it is the "senior synonym": Synonyms in botany are equivalent to "junior synonyms" in zoology.
This argument is logically valid, but quite demonstrably wrong, because its first premise is false — a street cleaner may have passed, ...
An antonym is one of a pair of words with opposite meanings. Each word in the pair is the antithesis of the other. A word may have more than one antonym. There are three categories of antonyms identified by the nature of the relationship between the opposed meanings.
Happy day (or sunny day) scenario and golden path are slang synonyms for happy path. [6] In use case analysis, there is only one happy path, but there may be any number of additional alternate path scenarios which are all valid optional outcomes.
The corresponding conditional of a valid argument is a logical truth and the negation of its corresponding conditional is a contradiction. The conclusion is a necessary consequence of its premises. An argument that is not valid is said to be "invalid". An example of a valid (and sound) argument is given by the following well-known syllogism:
An unpaired word is one that, according to the usual rules of the language, would appear to have a related word but does not. [1] Such words usually have a prefix or suffix that would imply that there is an antonym, with the prefix or suffix being absent or opposite.
To be ecologically valid, the methods, materials and setting of a study must approximate the real-life situation that is under investigation. Ecological validity is partly related to the issue of experiment versus observation. Typically in science, there are two domains of research: observational (passive) and experimental (active).