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While the conclusion of a deductive argument is certain, the truth of the conclusion of an inductive argument may be probable, based upon the evidence given. Notice that while similar, each has a different form.A generalization (more accurately, an inductive generalization) proceeds from a premise about a sample to a conclusion about the population.
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Inductive reasoning is a method of reasoning in which the premises are viewed as supplying some evidence for the truth of the conclusion; this is in contrast to deductive reasoning.
In other words, it takes for granted a uniformity of nature, an unproven principle that cannot be derived from the empirical data itself.
Arguments that tacitly presuppose this uniformity are sometimes called Humean after the philosopher who was first to subject them to philosophical scrutiny.
This is analogical induction, according to which things alike in certain ways are more prone to be alike in other ways.
This form of induction was explored in detail by philosopher John Stuart Mill in his System of Logic, wherein he states: Analogical induction is a subcategory of inductive generalization because it assumes a pre-established uniformity governing events.
Typically, inductive reasoning seeks to formulate a probability.
Two dicto simpliciter fallacies can occur in statistical syllogisms: "accident" and "converse accident".
Simple induction proceeds from a premise about a sample group to a conclusion about another individual.
This is a combination of a generalization and a statistical syllogism, where the conclusion of the generalization is also the first premise of the statistical syllogism.