Final answer:
A hasty generalization is a conclusion based on inadequate or biased evidence. It occurs when too little evidence is used to support a conclusion.
Step-by-step explanation:
A hasty generalizationis a conclusion based on either inadequate or biased evidence.
For example, if someone concludes that all students in a class have test anxiety based on the nervousness of only two students, it would be a hasty generalization.
This fallacy occurs when too little evidence is used to support a conclusion.
Hasty generalization fallacies can be avoided by ensuring that sufficient evidence is used to draw conclusions.
This can involve gathering a larger sample size or considering a broader range of evidence.
By doing so, one can make more reliable and accurate generalizations.