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Questions and Answers
What type of probability is Sunil assessing when he believes he has a 50% chance of obtaining tails?
What type of probability is Sunil assessing when he believes he has a 50% chance of obtaining tails?
What type of probability does John use when he believes he has a 90% chance of receiving straight A's?
What type of probability does John use when he believes he has a 90% chance of receiving straight A's?
What type of probability is represented by the announcement of a 40% chance of a person being a Republican in the conference room?
What type of probability is represented by the announcement of a 40% chance of a person being a Republican in the conference room?
Find P(D) when a sample space S yields five equally likely events, A, B, C, D, and E.
Find P(D) when a sample space S yields five equally likely events, A, B, C, D, and E.
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What is P(B^c) when B^c consists of the events A, C, D, and E?
What is P(B^c) when B^c consists of the events A, C, D, and E?
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Calculate P(A U C U E) given that P(A) = P(C) = P(E) = 1/5.
Calculate P(A U C U E) given that P(A) = P(C) = P(E) = 1/5.
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The probability that Jane Peterson tells her friends the Amtrak train will arrive on time is _____ based on her past experiences.
The probability that Jane Peterson tells her friends the Amtrak train will arrive on time is _____ based on her past experiences.
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Why would Jane's estimated probability of the train arriving on time be considered inaccurate?
Why would Jane's estimated probability of the train arriving on time be considered inaccurate?
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Calculate P(A ∩ B) given P(A) = 0.57, P(B) = 0.22, and P(A | B) = 0.37.
Calculate P(A ∩ B) given P(A) = 0.57, P(B) = 0.22, and P(A | B) = 0.37.
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Calculate P(A U B) given P(A) = 0.57, P(B) = 0.22, and P(A ∩ B) = 0.081.
Calculate P(A U B) given P(A) = 0.57, P(B) = 0.22, and P(A ∩ B) = 0.081.
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Calculate P(B | A) given P(A ∩ B) = 0.081 and P(A) = 0.57.
Calculate P(B | A) given P(A ∩ B) = 0.081 and P(A) = 0.57.
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Are events A and B independent if P(A) = 0.50, P(B) = 0.45, and P(A ∩ B) = 0.31?
Are events A and B independent if P(A) = 0.50, P(B) = 0.45, and P(A ∩ B) = 0.31?
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Are events A and B mutually exclusive if P(A ∩ B) = 0?
Are events A and B mutually exclusive if P(A ∩ B) = 0?
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What is P((A U B)c) given P(A) = 0.50, P(B) = 0.45, and P(A ∩ B) = 0.31?
What is P((A U B)c) given P(A) = 0.50, P(B) = 0.45, and P(A ∩ B) = 0.31?
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What is the probability that at least one of the stocks will rise in price given P(A) = 0.61 and P(B) = 0.39?
What is the probability that at least one of the stocks will rise in price given P(A) = 0.61 and P(B) = 0.39?
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Are events A and B mutually exclusive if P(A ∩ B) ≠ 0?
Are events A and B mutually exclusive if P(A ∩ B) ≠ 0?
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Are events A and B independent if P(A | B) = P(A)?
Are events A and B independent if P(A | B) = P(A)?
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What is the probability that neither the seven-year AA-rated bond nor the seven-year A-rated bond defaults?
What is the probability that neither the seven-year AA-rated bond nor the seven-year A-rated bond defaults?
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What is the probability that at least one of the bonds defaults given the individual probabilities?
What is the probability that at least one of the bonds defaults given the individual probabilities?
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Study Notes
Probability Concepts
- Classical Probability: Determined when outcomes are equally likely, e.g., flipping a fair coin results in a 50% chance of tails.
- Subjective Probability: Based on personal belief or assessment, such as estimating a 90% chance of achieving straight A's.
- Empirical Probability: Derived from observed data or experimental outcomes, e.g., reporting a 50% chance of a train being on time based on past experiences.
Probability Calculations
- Probability of a Single Event (P(D)): For five equally likely events, the probability of any single event (e.g., P(D)) is 0.20.
- Complementary Events: The probability of the complement of an event (e.g., P(B^c)) is calculated by subtracting the probability of the event from 1, resulting in 0.80 for P(B^c).
- Union of Events (P(A U C U E)): The probability of the union of several events can be calculated by summing their individual probabilities; e.g., P(A) + P(C) + P(E) results in 0.60.
Advanced Probability
- Calculating Joint Probability (P(A ∩ B)): The joint probability of two events can be derived using conditional probability; for example, P(A ∩ B) = P(A | B) * P(B) resulting in 0.081.
- Calculating Union (P(A U B)): The combined probability of two events is calculated using P(A) + P(B) − P(A ∩ B), yielding 0.709.
- Conditional Probability (P(B | A)): Conditional probability shows the likelihood of an event given another event has occurred, calculated as P(A ∩ B) / P(A), equating to 0.142.
Independence and Mutual Exclusivity
- Independent Events: Events A and B are independent if P(A | B) equals P(A); in this case, they are not independent.
- Mutually Exclusive Events: Events that cannot happen simultaneously have a joint probability of zero; however, A and B are not mutually exclusive since P(A ∩ B) is not zero.
Probability of Non-occurrence
- Calculating neither A nor B Occurring: To calculate the probability that neither event occurs, use the formula P((A U B)^c) = 1 − P(A U B), resulting in 0.36.
Stock Price Probabilities
- At least one Event Occurring: The probability of at least one stock rising in price is found by calculating P(A U B) = P(A) + P(B) − P(A ∩ B), yielding 0.77.
Bond Default Probabilities
- Probability of Neither Bond Defaulting: To find the likelihood that neither bond defaults, use P((A U B)^c) = 1 − P(A U B), resulting in 0.10.
- Probability of at least One Bond Defaulting: The combined probability of either bond defaulting can be calculated similarly, yielding a probability of 0.90.
Summary of Probability Types
- Events classified as empirical, classical, or subjective variations affects their interpretation and usage in practical applications.
- Understanding complements, joint probabilities, and conditional relationships forms the foundation for more complex probability scenarios.
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Test your understanding of key concepts in Chapter 4 of ISDS. This quiz covers essential topics such as classical and subjective probability, with real-world examples for application. Perfect for reinforcing your knowledge before exams!