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They are contrasted with referential questions (or information-seeking questions), a type of question posed when the answer is not known by the questioner at the time of inquiry. [ 2 ] [ 3 ] Both question types are used widely in language education in order to elicit language practice but the use of referential questions is generally preferred ...
Zieffler et al. (2008) suggest three types of tasks that have been used in studies of students' informal inferential reasoning and its development. Estimate and draw a graph of a population based on a sample; Compare two or more samples of data to infer whether there is a real difference between the populations from which they were sampled
Popular in inquiry education, divergent questions allow students to explore different avenues and create many different variations and alternative answers or scenarios. Correctness may be based on logical projections, may be contextual, or arrived at through basic knowledge, conjecture, inference, projection, creation, intuition, or imagination.
Therefore, this sample approximately matches the population; If the population is, say, a large number of balls which are black or white but in an unknown proportion, and one takes a large sample and finds they are all white, then it is likely, using this statistical syllogism, that the population is all or nearly all white.
See also List of Ship of Theseus examples Sorites paradox (also known as the paradox of the heap ): If one removes a single grain of sand from a heap, they still have a heap. If they keep removing single grains, the heap will disappear.
Logical reasoning happens by inferring a conclusion from a set of premises. [3] Premises and conclusions are normally seen as propositions. A proposition is a statement that makes a claim about what is the case. In this regard, propositions act as truth-bearers: they are either true or false. [18] [19] [3] For example, the sentence "The water ...
Each logic operator can be used in an assertion about variables and operations, showing a basic rule of inference. Examples: The column-14 operator (OR), shows Addition rule: when p=T (the hypothesis selects the first two lines of the table), we see (at column-14) that p∨q=T.
Additionally, the term 'inference' has also been applied to the process of generating predictions from trained neural networks. In this context, an 'inference engine' refers to the system or hardware performing these operations. This type of inference is widely used in applications ranging from image recognition to natural language processing.