An inductive generalization takes a sample of a population and makes a conclusion regarding the entirepopulation.
Inductive Generalizations take the form..
X percent of observed Fs are Gs
therefore
X percent of all Fs are Gs
For example, an experiment may test the effects of a drug on lab mice. They might reason..
80% of observed mice die when given the drug.
therefore
80% of all mice die when given the drug.
The argument's strength depends on the sample. A sample that is not representative of the population is called a biased sample.
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generalization
Inductive reasoning
A faulty generalization is a statement that's not true while a valid generalization is a true statement.
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Generalization can be defined as a broad statement that is applicable to a group of people.