Philosophy exam (1)
pdf
keyboard_arrow_up
School
University of Guelph *
*We aren’t endorsed by this school
Course
145
Subject
Philosophy
Date
Jan 9, 2024
Type
Pages
13
Uploaded by BarristerHummingbirdMaster241
Philosophy exam
By: Roni Hasan
This is the format of the exam:
15 multiple choice questions.
5 short-answer questions.
1 essay-question.
You will have 2 hours and 30 minutes to complete the exam, good luck
1
Multiple Choice Questions:
1. Philosophy:
Question: What is the main focus of metaphysics?
A) Ethics
B) Epistemology
C) Existence and reality
D) Aesthetics
Answer: C) Existence and reality
2. Critical Thinking:
Question: Which of the following is a key component of critical thinking?
A) Accepting information without analysis
B) Relying solely on intuition
C) Evaluating evidence and arguments
D) Avoiding diverse perspectives
Answer: C) Evaluating evidence and arguments
3. Academic Governance:
Question: What is the primary role of academic governance in a university?
A) Dictating curriculum to faculty
B) Ensuring student satisfaction
2
C) Overseeing institutional policies and decision-making
D) Managing sports programs
Answer: C) Overseeing institutional policies and decision-making
4. Free Expression:
Question: Which principle is fundamental to the concept of free expression?
A) Limiting speech based on popularity
B) Allowing only government-approved opinions
C) Protecting diverse and unpopular viewpoints
D) Silencing dissenting voices
Answer: C) Protecting diverse and unpopular viewpoints
5. Argumentation:
Question: What is a fallacy in argumentation?
A) A valid reasoning pattern
B) A misleading or illogical argument
C) A universally accepted truth
D) A statement that supports the conclusion
Answer: B) A misleading or illogical argument
6. Philosophy of Science:
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
3
Question: How do we distinguish between science and non-science?
A) The popularity of the ideas presented
B) The level of jargon used in explanations
C) The presence of empirical evidence and testability
D) The endorsement of influential individuals
Answer: C) The presence of empirical evidence and testability
7. Probability:
Question: In probability theory, what does the term "mutually exclusive events" mean?
A) Events that are dependent on each other
B) Events that cannot occur at the same time
C) Events with a high likelihood of occurrence
D) Events that are irrelevant to each other
Answer: B) Events that cannot occur at the same time
8. Logic:
Question: What is the purpose of a syllogism in logical reasoning?
A) To introduce irrelevant information
B) To express emotional opinions
C) To present a form of deductive reasoning
D) To confuse the audience
Answer: C) To present a form of deductive reasoning
4
9. Reasoning:
Question: What is the difference between inductive generalization and statistical syllogism?
A) They are identical concepts
B) Inductive generalization relies on specific examples, while statistical syllogism uses
statistical data
C) Statistical syllogism is an emotional appeal, while inductive generalization is based on
facts
D) Both are forms of deductive reasoning
Answer: B) Inductive generalization relies on specific examples, while statistical syllogism uses
statistical data
10. Cognitive Biases:
Question: How does the anchoring bias influence decision-making?
A) By prioritizing new information
B) By relying on available evidence
C) By fixating on the first piece of information encountered
D) By considering a wide range of perspectives
Answer: C) By fixating on the first piece of information encountered
11. Free Expression:
Question: Which of the following is a limitation on free expression?
5
A) Protecting hate speech
B) Encouraging open dialogue
C) Fostering diversity of thought
D) Upholding freedom of the press
Answer: A) Protecting hate speech
12. Argumentation:
Question: What is the ad hominem fallacy, and why is it considered a flaw in argumentation?
A) Attacking the person rather than addressing their argument; it's a diversion from the
issue at hand
B) Providing excessive praise to distract from the weak argument
C) Using emotional language to manipulate the audience
D) Ignoring the opponent's viewpoint
Answer: A) Attacking the person rather than addressing their argument; it's a diversion from the
issue at hand
13 .Philosophy:
Question: What is the central concern of epistemology?
A) The nature of knowledge and belief
B) The study of moral values
C) The exploration of aesthetic principles
D) The analysis of language
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
6
Answer: A) The nature of knowledge and belief
14. Academic Governance:
Question: How does academic freedom contribute to the overall mission of universities?
A) By restricting intellectual exploration
B) By encouraging conformity to a single ideology
C) By fostering a diverse and open intellectual environment
D) By suppressing the exchange of ideas
Answer: C) By fostering a diverse and open intellectual environment
15. Critical Thinking:
Question: Why is it important to recognize and address cognitive biases in critical thinking?
A) Because biases always lead to accurate conclusions
B) Because biases can distort reasoning and lead to flawed judgments
C) Because biases enhance objectivity
D) Because biases are irrelevant to critical thinking
Answer: B) Because biases can distort reasoning and lead to flawed judgments
7
Short-Answer Questions:
1.
Logic:
Question: Explain the difference between deductive and inductive reasoning.
Ideal Answer: Deductive reasoning involves drawing specific conclusions from general
premises, guaranteeing the truth of the conclusion if the premises are true. Inductive reasoning,
on the other hand, generalizes from specific observations, making the conclusion probable but
not certain.
2.
Reasoning:
Question: Provide an example of a circular argument.
Ideal Answer: A circular argument occurs when the conclusion is restated in one of the premises,
offering no real support. For instance, "The Bible is true because it says so, and it's reliable
because it's the Word of God."
3.
Cognitive Biases:
Question: How can the confirmation bias impact decision-making?
Ideal Answer: Confirmation bias involves favoring information that confirms pre-existing beliefs
while ignoring or dismissing contrary evidence. This can lead to distorted decision-making by
reinforcing existing views and preventing objective evaluation.
4.
Probability:
Question: Explain the difference between subjective and objective probability.
Ideal Answer: Subjective probability is based on personal judgment and experience, while
objective probability relies on statistical analysis and measurable frequencies in the real world.
5.
Philosophy of Science:
Question: Compare and contrast falsifiability and verifiability as criteria for scientific
theories.
Ideal Answer: Falsifiability refers to the ability of a scientific theory to be proven false through
empirical testing, while verifiability pertains to the capacity for a theory to be confirmed through
8
observation and evidence. Falsifiability emphasizes the potential for rejection, a crucial aspect of
the scientific method, while verifiability focuses on supporting evidence. Both criteria contribute
to the rigour and reliability of scientific theories by ensuring they are subject to empirical
scrutiny and capable of producing observable and repeatable results.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
9
Essay Question:
Probability in Decision-Making:
Question: Discuss the multifaceted role of probability in decision-making, exploring its impact
on various aspects of life. Delve into the ways in which an understanding of probability enhances
critical thinking and guides rational choices. Consider real-world examples and scenarios to
illustrate the practical applications of probability in different domains.
Ideal Answer:
Probability, as a fundamental concept in decision-making, plays a important and multifaceted
role in shaping our understanding of uncertainty and risk. It goes beyond mathematical
calculations, extending its influence into various aspects of life, from personal choices to
business decisions and policy-making. This essay will explore the nuanced ways in which
probability contributes to decision-making, emphasizing its impact on critical thinking and the
rationality of choices.
One of the primary functions of probability in decision-making is its ability to quantify
uncertainty. Life is inherently uncertain, and decisions are often made in the face of incomplete
information. Probability provides a structured framework for assessing the likelihood of different
outcomes, allowing individuals to assign numerical values to uncertainties. This quantification
enables a more systematic and objective evaluation of risks, facilitating a clearer understanding
of potential consequences. In critical thinking, probability serves as a powerful tool for reasoning
and analysis. By embracing a probabilistic perspective, individuals are encouraged to consider
multiple scenarios and evaluate evidence objectively. This process helps to guard against
cognitive biases and fallacious reasoning, fostering a more robust and logical approach to
decision-making. For instance, when confronted with competing arguments or conflicting pieces
of evidence, probability allows for a nuanced assessment, acknowledging the uncertainties
inherent in complex situations. The practical applications of probability are evident in various
domains. In finance, for example, investors use probability models to assess the risk-return
profiles of different investment options. This informed decision-making is essential for managing
financial portfolios and maximizing returns while minimizing exposure to potential losses.
Similarly, in healthcare, probability is employed to assess the likelihood of success for medical
treatments, aiding both clinicians and patients in making informed choices about interventions.
Moreover, the role of probability extends into the realm of public policy. When policymakers
face complex issues such as climate change or economic reforms, probability models assist in
forecasting potential outcomes and evaluating the effectiveness of proposed strategies. This
evidence-based approach enhances the quality of decision-making at the societal level,
contributing to the overall well-being of communities. In everyday life, individuals constantly
encounter situations where probability influences decision-making. Whether choosing between
10
different routes for a commute, deciding on insurance coverage, or assessing the likelihood of
success in personal endeavours, probability provides a framework for making informed choices.
It encourages individuals to move beyond intuition and gut feelings, fostering a more deliberate
and thoughtful decision-making process.
In conclusion, probability is an indispensable tool in decision-making, offering a structured
approach to navigate uncertainty and assess risks. Its influence on critical thinking, evidenced in
its ability to guide rational choices, underscores its importance in diverse aspects of life. By
understanding and leveraging probability, individuals and societies can make more informed,
objective, and reasoned decisions, ultimately contributing to a more thoughtful and rational
world.
11
End of Exam
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
12