Lecture 13 Flashcards

1
Q

What is a deductive argument?

A

An argument where premises provide logically conclusive support for the conclusion

Deductive arguments are classified as either ‘valid’ or ‘invalid’. A valid argument with all true premises is termed ‘sound’.

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2
Q

What is an inductive argument?

A

An argument where premises provide only probable support for the conclusion

Inductive arguments are classified as either ‘strong’ or ‘weak’. A strong argument with all true premises is termed ‘cogent’.

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3
Q

What does inductive reasoning allow us to do?

A

Reason ‘beyond the evidence’

This involves making generalizations based on observed instances.

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4
Q

List the forms of inductive argument.

A
  • Enumerative Induction
  • Statistical Syllogism
  • Argument by Analogy
  • Causal Argument
  • Inference to the Best Explanation
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5
Q

Define enumerative induction.

A

A form of inductive reasoning where premises about a sample lead to a conclusion about the whole group

It involves drawing general conclusions based on specific observed instances.

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6
Q

What is a target group in enumerative induction?

A

The whole collection of individuals under study

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7
Q

What is a sample in enumerative induction?

A

The observed members of the target group

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8
Q

What is a relevant property in enumerative induction?

A

A property or characteristic of interest in the target group

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9
Q

Provide an example of enumerative induction.

A

40% of people in our survey said they support Party A. Therefore, we expect Party A to get 40% of votes in the election

Target group: Canadian voters; Sample: People surveyed.

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10
Q

What are two main ways enumerative inductions can fail to be strong?

A
  • Sample too small
  • Sample not representative
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11
Q

What is the fallacy of hasty generalization?

A

Drawing a conclusion based on a sample that is too small

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12
Q

What is an example of a weak argument in enumerative induction?

A

All corporate executives Jacques has worked for have been corrupt. Therefore, all corporate executives are probably corrupt

Sample size is too small and not representative.

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13
Q

What is a strong argument in enumerative induction?

A

Almost all blue herons examined have had birth defects, therefore most blue herons probably have birth defects

Sample is large and representative.

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14
Q

Why must a sample be representative in enumerative induction?

A

It must resemble the target group in all relevant ways

This includes having all relevant characteristics in the same proportions.

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15
Q

What is a biased sample?

A

A sample that does not accurately reflect the target group

This can happen due to selective attention.

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16
Q

What are opinion polls used for in enumerative inductive arguments?

A

To arrive at generalizations about something

17
Q

What should opinion polls ensure to be strong?

A
  • Use a large enough sample
  • Generate accurate data
18
Q

What is random sampling?

A

A method where every member of the target group has an equal chance of being selected

19
Q

What is a self-selecting sample?

A

A process where survey subjects choose themselves

20
Q

Define margin of error.

A

The variation between the values derived from a sample and the true values of the whole target group

21
Q

What does a 95% confidence level indicate?

A

There is a 95% chance that the results will accurately reflect the total population

22
Q

What is the relationship between sample size and margin of error?

A

Larger samples generally lead to smaller margins of error

23
Q

What are statistical syllogisms?

A

Inductive arguments that apply a statistical generalization to a specific member of a group

24
Q

What must be identified in a statistical syllogism?

A
  • The individual being examined
  • The group to which that individual belongs
  • The characteristic being attributed
  • The proportion of the group with that characteristic
25
Q

Can statistical syllogisms guarantee their conclusions?

A

No, even good ones cannot guarantee their conclusions

Example involves a spider being assumed harmless based on a generalization.

26
Q

What factors determine the strength of a statistical syllogism?

A
  • Acceptable premises
  • Statistical strength
  • Typical or randomly selected individuals
27
Q

What is analogical induction?

A

A form of reasoning where similarities between two or more things suggest further similarities

Example: If robots can move and solve problems like humans, they might also feel pain.

28
Q

What criteria judge the strength of arguments by analogy?

A
  • Relevant similarities
  • Relevant dissimilarities
  • Number of instances compared
  • Diversity among cases
29
Q

How does the number of instances compared affect analogical induction?

A

The greater the number of instances showing relevant similarities, the stronger the argument

30
Q

What is an example of relevant dissimilarity undermining an argument?

A

Assuming humans give birth to puppies because they nurse their young like dogs

The relevant dissimilarity is that humans and dogs are different species.