Respuesta :

The process of generalization in the face of the uncertainties of the real world is called (D) statistical logic.

What is statistical logic?

  • A non-deductive syllogism is a statistical syllogism (also known as a proportional syllogism or direct inference).
  • It uses inductive reasoning to argue from a generalization that is generally true to a specific case.
  • Statistical logic refers to the process of generalization in the face of real-world uncertainties.
  • Statistical syllogisms may contain qualifiers such as "most", "frequently", "almost never", "rarely", and so on, or they may contain a statistical generalization as one or both of their premises.
  • A statistical syllogism, unlike many other types of syllogism, is inductive, so when evaluating this type of argument, it is important to consider how strong or weak it is, as well as the other rules of induction (as opposed to the deduction).

Therefore, the process of generalization in the face of the uncertainties of the real world is called (D) statistical logic.

Know more about statistical logic here:

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The complete question is given below:
The process of generalization in the face of the uncertainties of the real world is called:

(A) mathematical inference

(B) statistical inference

(C) statistical description

(D) statistical logic