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...
icon
Related questions
Question
### 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.
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.
Expert Solution
steps

Step by step

Solved in 6 steps with 23 images

Blurred answer