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.
generalization
Inductive reasoning
Type your answer here... empirical
A faulty generalization is a statement that's not true while a valid generalization is a true statement.
Generalization can be defined as a broad statement that is applicable to a group of people.
Hasty generalization is a logical fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence.
Generalization
An informal fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence
When using inductive reasoning, be cautious of generalizing conclusions too broadly based on limited evidence. It is important to recognize that inductive arguments can only provide probabilistic support for a conclusion, not absolute certainty. Additionally, watch for biases or hidden assumptions that may affect the validity of the reasoning.
Hasty generalization
generalization
Inductive approach involves generating theories based on observations and patterns identified in the data, while deductive approach tests existing theories against empirical evidence. Inductive reasoning moves from specific observations to broader generalizations, whereas deductive reasoning moves from general principles to specific predictions. Both approaches are used in scientific research to build knowledge and test hypotheses.
Inductive reasoning
inductive reasoningThe type of reasoning that involves using specific pieces of evidence to make generalizations are called inductive reasons.
inductive reasoningThe type of reasoning that involves using specific pieces of evidence to make generalizations are called inductive reasons.
Inductive ( for apext english 1 understand baias and resoning test....might work for other english on apex to )
Some examples of fallacies of inductive reasoning include hasty generalization (drawing conclusions based on insufficient evidence), biased sample (making assumptions based on a sample that is not representative of the population), and cherry-picking (selectively choosing data that supports a particular conclusion while ignoring contradictory evidence).