Consider randomly selecting a single individual and having that person test drive 3 different vehicles. Define events A₁, A₂, and A3 by A₁ A₂ = likes vehicle #2 A3 = likes vehicle #3. = likes vehicle #1 Suppose that P(A₁) = 0.45, P(A₂) = 0.55, P(A3) = 0.70, P(A₁ U A₂) = 0.80, P(A₂ A3) = 0.50, and P(A₁ U A₂ U A3) = 0.88. (a) What is the probability that the individual likes both vehicle #1 and vehicle #2? 0.2 (b) Determine P(A₂ | A3). (Round your answer to four decimal places.) P(A₂ | A3) Interpret P(A₂ | A3). If a person likes vehicle #2, this is the probability he or she will also like vehicle #3. = 0.7143 This is the probability a person does not like both vehicle #2 and vehicle #3. If a person likes vehicle #3, this is the probability he or she will also like vehicle #2. This is the probability a person likes both vehicle #2 and vehicle #3. (c) Are A₂ and A3 independent events? Answer in two different ways. (Select all that apply.) Yes. P(A₂ | A3) # P(A₂). Therefore, A₂ and A3 are independent. No. P(A₂ | A3) # P(A₂). Therefore A₂ and A3 are not independent. Yes. P(A₂ A3) = P(A₂)P(A3). Therefore, A₂ and A3 are independent. No. P(A₂ | A3) = P(A₂). Therefore, A₂ and A3 are not independent. Yes. P(A₂ | A3) = P(A₂). Therefore, A₂ and A3 are independent. No. P(A₂ A3) # P(A₂)P(A3). Therefore, A₂ and A3 are not independent. (d) If you learn that the individual did not like vehicle #1, what now is the probability that he/she liked at least one of the other two vehicles? (Round your answer to four decimal places.) 0.56 X
Consider randomly selecting a single individual and having that person test drive 3 different vehicles. Define events A₁, A₂, and A3 by A₁ A₂ = likes vehicle #2 A3 = likes vehicle #3. = likes vehicle #1 Suppose that P(A₁) = 0.45, P(A₂) = 0.55, P(A3) = 0.70, P(A₁ U A₂) = 0.80, P(A₂ A3) = 0.50, and P(A₁ U A₂ U A3) = 0.88. (a) What is the probability that the individual likes both vehicle #1 and vehicle #2? 0.2 (b) Determine P(A₂ | A3). (Round your answer to four decimal places.) P(A₂ | A3) Interpret P(A₂ | A3). If a person likes vehicle #2, this is the probability he or she will also like vehicle #3. = 0.7143 This is the probability a person does not like both vehicle #2 and vehicle #3. If a person likes vehicle #3, this is the probability he or she will also like vehicle #2. This is the probability a person likes both vehicle #2 and vehicle #3. (c) Are A₂ and A3 independent events? Answer in two different ways. (Select all that apply.) Yes. P(A₂ | A3) # P(A₂). Therefore, A₂ and A3 are independent. No. P(A₂ | A3) # P(A₂). Therefore A₂ and A3 are not independent. Yes. P(A₂ A3) = P(A₂)P(A3). Therefore, A₂ and A3 are independent. No. P(A₂ | A3) = P(A₂). Therefore, A₂ and A3 are not independent. Yes. P(A₂ | A3) = P(A₂). Therefore, A₂ and A3 are independent. No. P(A₂ A3) # P(A₂)P(A3). Therefore, A₂ and A3 are not independent. (d) If you learn that the individual did not like vehicle #1, what now is the probability that he/she liked at least one of the other two vehicles? (Round your answer to four decimal places.) 0.56 X
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:### Probability Analysis of Vehicle Preferences
Consider a scenario where an individual tests three different vehicles. Define the events \( A_1, A_2, A_3 \) as follows:
- \( A_1 \): Likes vehicle #1
- \( A_2 \): Likes vehicle #2
- \( A_3 \): Likes vehicle #3
Given probabilities:
- \( P(A_1) = 0.45 \)
- \( P(A_2) = 0.55 \)
- \( P(A_3) = 0.70 \)
- \( P(A_1 \cup A_2) = 0.80 \)
- \( P(A_2 \cap A_3) = 0.50 \)
- \( P(A_1 \cup A_2 \cup A_3) = 0.88 \)
#### (a) Probability of Liking Both Vehicle #1 and Vehicle #2
What is the probability that the individual likes both vehicle #1 and vehicle #2?
- Answer: \( 0.20 \)
#### (b) Determine \( P(A_2 \mid A_3) \)
Calculate the conditional probability \( P(A_2 \mid A_3) \):
- Answer: \( 0.7143 \)
**Interpret \( P(A_2 \mid A_3) \):**
This probability indicates that if a person likes vehicle #3, there is a 71.43% chance that they will also like vehicle #2.
#### (c) Independence of Events \( A_2 \) and \( A_3 \)
Evaluate whether \( A_2 \) and \( A_3 \) are independent events:
- No, \( P(A_2 \mid A_3) \neq P(A_2) \), indicating that \( A_2 \) and \( A_3 \) are not independent.
#### (d) Probability Given Not Liking Vehicle #1
If it is known that the individual did not like vehicle #1, calculate the probability that they liked at least one of the other two vehicles:
- Correct calculation pending: Miscalculation shown as \( 0.56 \) indicates an error.
This material provides a foundational overview of probability assessment in the context of preferences for multiple choices, focusing on event independence and conditional probability.
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