When randomly selecting adults, let M denote the event of randomly selecting a male and let B denote the event of randomly selecting someone with blue eyes. What does P(M|B) represent? Is P(M|B) the same as P(B|M)? What does P(M|B) represent? O A. The probability of getting a male, given that someone with blue eyes has been selected. O B. The probability of getting a male or getting someone with blue eyes. Oc. The probability of getting someone with blue eyes, given that a male has been selected. O D. The probability of getting a male and getting someone with blue eyes. Is P(M|B) the same as P(B|M)? O A. No, because P(B|M) represents the probability of getting a male, given that someone with blue eyes has been selected. O B. Yes, because P(B|M) represents the probability of getting someone with blue eyes, given that a male has been selected. Oc. Yes, because P(B|M) represents the probability of getting a male, given that someone with blue eyes has been selected. O D. No, because P(B|M) represents the probability of getting someone with blue eyes, given that a male has been selected.

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### Probability Theory: Conditional Probability Problem

When randomly selecting adults, let \( M \) denote the event of randomly selecting a male and let \( B \) denote the event of randomly selecting someone with blue eyes. 

#### Problem Statement:
What does \( P(M|B) \) represent?

#### Answer Options:

- \( \text{A.}  \) The probability of getting a male, given that someone with blue eyes has been selected.
- \( \text{B.}  \) The probability of getting a male or getting someone with blue eyes.
- \( \text{C.}  \) The probability of getting someone with blue eyes, given that a male has been selected.
- \( \text{D.}  \) The probability of getting a male and getting someone with blue eyes.

#### Second Problem Statement:
Is \( P(M|B) \) the same as \( P(B|M) \)?

#### Answer Options:

- \( \text{A.}  \) No, because \( P(B|M) \) represents the probability of getting a male, given that someone with blue eyes has been selected.
- \( \text{B.}  \) Yes, because \( P(B|M) \) represents the probability of getting someone with blue eyes, given that a male has been selected.
- \( \text{C.}  \) Yes, because \( P(B|M) \) represents the probability of getting a male, given that someone with blue eyes has been selected.
- \( \text{D.}  \) No, because \( P(B|M) \) represents the probability of getting someone with blue eyes, given that a male has been selected.

### Explanation of Concepts:

- **Conditional Probability \( P(A|B) \)**: This represents the probability of event \( A \) occurring given that event \( B \) has already occurred. In general, \( P(A|B) \neq P(B|A) \) because the conditions under which each probability is calculated are different.

### Analysis of Answer Choices:

#### For the First Problem:

- **Correct Answer: \( \text{A.} \)** \( P(M|B) \) is the probability of selecting a male given that the person has blue eyes.

#### For the Second Problem:

- **Correct Answer: \( \text{D.} \)** \( P(B|
Transcribed Image Text:### Probability Theory: Conditional Probability Problem When randomly selecting adults, let \( M \) denote the event of randomly selecting a male and let \( B \) denote the event of randomly selecting someone with blue eyes. #### Problem Statement: What does \( P(M|B) \) represent? #### Answer Options: - \( \text{A.} \) The probability of getting a male, given that someone with blue eyes has been selected. - \( \text{B.} \) The probability of getting a male or getting someone with blue eyes. - \( \text{C.} \) The probability of getting someone with blue eyes, given that a male has been selected. - \( \text{D.} \) The probability of getting a male and getting someone with blue eyes. #### Second Problem Statement: Is \( P(M|B) \) the same as \( P(B|M) \)? #### Answer Options: - \( \text{A.} \) No, because \( P(B|M) \) represents the probability of getting a male, given that someone with blue eyes has been selected. - \( \text{B.} \) Yes, because \( P(B|M) \) represents the probability of getting someone with blue eyes, given that a male has been selected. - \( \text{C.} \) Yes, because \( P(B|M) \) represents the probability of getting a male, given that someone with blue eyes has been selected. - \( \text{D.} \) No, because \( P(B|M) \) represents the probability of getting someone with blue eyes, given that a male has been selected. ### Explanation of Concepts: - **Conditional Probability \( P(A|B) \)**: This represents the probability of event \( A \) occurring given that event \( B \) has already occurred. In general, \( P(A|B) \neq P(B|A) \) because the conditions under which each probability is calculated are different. ### Analysis of Answer Choices: #### For the First Problem: - **Correct Answer: \( \text{A.} \)** \( P(M|B) \) is the probability of selecting a male given that the person has blue eyes. #### For the Second Problem: - **Correct Answer: \( \text{D.} \)** \( P(B|
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