- 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.
- 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.
- 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.