We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more

Chapter Objectives

Enumerative Induction

  • Know what enumerative induction is and how it's used.
  • Learn the definitions of target population, sample, and relevant property.
  • Understand the two ways in which an enumerative induction can fail to be strong.
  • Understand the error known as hasty generalization and know how to avoid it.
  • Understand the basics of opinion polls and know the definitions of random sampling, self-selecting sample, margin of error, and confidence level.

Analogical Induction

  • Know how to formulate and evaluate an argument by analogy.
  • Know how to use the following criteria to evaluate arguments by analogy: relevant similarities, relevant dissimilarities, the number of instances compared, and diversity among cases.

Causal Arguments

  • Know what causal claims and arguments are.
  • Be able to apply Mill's methods to the evaluation of causal arguments.
  • Be aware of the ways in which people can make errors in causal reasoning.
  • Recognize and know how to avoid the post hoc fallacy.
  • Learn the definitions of necessary and sufficient conditions.
  • Be able to distinguish between necessary and sufficient conditions in everyday contexts.

Legal Notice | Privacy Policy | Cookie Policy
Please send comments or suggestions about this Website to custserv.us@oup.com