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"First conditional" or "conditional I" refers to a pattern used in predictive conditional sentences, i.e. those that concern consequences of a probable future event (see Types of conditional sentence). In the basic first conditional pattern, the condition is expressed using the present tense (having future meaning in this context).
A conditional sentence is a sentence in a natural language that expresses that one thing is contingent on another, e.g., "If it rains, the picnic will be cancelled." They are so called because the impact of the sentence’s main clause is conditional on a subordinate clause.
e IPFV. TAM hina’aro like na DEIX vau SG tō DEF mei’a banana ra DEIX e hina’aro na vau tō mei’a ra IPFV.TAM like DEIX SG DEF banana DEIX 'I would like those bananas (you mentioned).' Mortlockese Mortlockese is an Austronesian language made up of eleven dialects over the eleven atolls that make up the Mortlock Islands in Micronesia. Various TAM markers are used in the language. Mood ...
Conditional sentences of this kind are referred to by Smyth as the "more vivid" future conditions, and are very common. [16] In the following examples, the protasis has the present subjunctive, and the apodosis has the future indicative: ἥξω παρὰ σὲ αὔριον, ἐὰν θεὸς ἐθέλῃ. (Plato) [17]
In this situation, the event A can be analyzed by a conditional probability with respect to B. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(A|B) [2] or occasionally P B (A).
Curry's paradox uses a particular kind of self-referential conditional sentence, as demonstrated in this example: If this sentence is true, then Germany borders China. Even though Germany does not border China , the example sentence certainly is a natural-language sentence, and so the truth of that sentence can be analyzed.
This rule allows one to express a joint probability in terms of only conditional probabilities. [4] The rule is notably used in the context of discrete stochastic processes and in applications, e.g. the study of Bayesian networks, which describe a probability distribution in terms of conditional probabilities.
Examples: If , then . This is a nonlogical formulation of a hypothetical proposition. In this case, the antecedent is P, and the consequent is Q. In the implication " ...