Critical Reasoning: Key Concepts, Logic, and Probability for Midterm

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Last updated 8:09 AM on 4/2/26
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27 Terms

1
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When is the midterm exam for P105 Critical Reasoning?

March 12th, 2026

2
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What types of questions will be on the midterm exam?

True/false, short answers, definitions, and longer answer questions.

3
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What is System 1 thinking characterized by?

Fast, frugal, automatic, and non-transparent.

4
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What is System 2 thinking characterized by?

Slow, deliberate, and transparent.

5
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Give an example of System 1 thinking.

Recognizing faces.

6
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Give an example of System 2 thinking.

Doing multiplication in your head.

7
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What is the base rate fallacy?

Ignoring the base rate in probability assessments.

8
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What is the conjunction fallacy?

Assuming that specific conditions are more probable than a single general one.

9
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What is the availability heuristic?

Overestimating the probability of events based on how easily examples come to mind.

10
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What is the anchoring effect?

Relying too heavily on the first piece of information encountered.

11
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What does it mean for an argument to be deductively valid?

If all premises are true, the conclusion must also be true.

12
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What is a tautology?

A formula that is true in every possible interpretation.

13
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What is a contradiction?

A formula that is false in every possible interpretation.

14
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What are the three laws of probability?

Non-negativity, normalization, and additivity.

15
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How do you compute the probability of a disjunction?

Using the formula p(A ∨ B) = p(A) + p(B) for mutually exclusive events.

16
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What is conditional probability?

The probability of an event given that another event has occurred.

17
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What is the formula for conditional probability?

p(A|B) = p(A ∧ B) / p(B).

18
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What is the probability that a randomly selected student passed the midterm, given that they completed the extra credit?

3/4.

19
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What does it mean for two formulas to be logically equivalent?

They have the same truth value in every possible interpretation.

20
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What is the significance of truth tables in propositional logic?

They are used to determine the validity of arguments and the nature of logical formulas.

21
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What is the conclusion of the argument: If it is raining, then the game will be cancelled. It is raining. Therefore, the game will be cancelled?

The game will be cancelled.

22
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What is the conclusion of the argument: All mammals are warm-blooded. Whales are mammals. So, whales are warm-blooded?

Whales are warm-blooded.

23
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What is the base rate in the context of a disease test?

The probability of having the disease before considering the test result.

24
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What is the result of the argument: P → Q, ¬P therefore ¬Q?

Invalid.

25
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What is the result of the argument: P ∨ Q, ¬P therefore Q?

Valid.

26
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What is the truth value of P ∨ ¬P?

True in every case.

27
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Is ¬(P ∧ Q) logically equivalent to (¬P ∨ ¬Q)?

Yes.

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