The statistical syllogism is a direct inference or proportional syllogism (1). It is a non-deductive syllogism. It contends in using inductive thought from a generalization true for the majority of a particular case (2). It’s may use words like almost never, most, rarely etc. as qualifying words or may have a statistical generalization as one or both of their premises (3). It’s may be either deductive or inductive (4). All animals are mortal All tigers are animals.' .All tigers are mortal. The above arguments are said to be deductive due to the reason that the conclusion essentially follows from the premises. The conclusion is definitely true if the premises are true. Rock is a football player, all football player weight more than 60 kg.’ Rock weight more than 60 kg. Syllogistic arguments are inductive which means that no conclusion essentially follows (5). Here even if the premises are true the decision is only probable (Schmitz, 2017). This argument states that if the premises are true the conclusion is possible to be true. In other words, the conclusion is always probable (6). Major premises is generalizations which state possibilities that form the basis of succeeding assumptions (7).The minor premise is a declaration that links the subject of the conclusion with the major premise (8).73.5% of IMed students are from PSHS. Jon is an IMed student. Jon is a maybe a graduate of PSHS (Cook, 2017). The consistency of the argument must be evaluated using three questions. Are there enough cases to support a universal report or one that is simply general? Have the practical cases been found in every variation of times, places and situations? Has a thorough search been made for incompatible cases?
Cook, A. (2017). CRITICAL REASONING. Retrieved from
Schmitz, T. (2017). The basic form of a syllogism. Retrieved from