If P(A) = 0.3 and P(B) = 0.2, what is P(A and B)? %3D %3D

MATLAB: An Introduction with Applications
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### Problem Statement:
If \( P(A) = 0.3 \) and \( P(B) = 0.2 \), what is \( P(A \text{ and } B) \)?

#### Explanation:

To solve this, we need additional information about the relationship between events \( A \) and \( B \):

1. **Independent Events:** If \( A \) and \( B \) are independent events, then the probability of both \( A \) and \( B \) occurring is the product of their individual probabilities.

\[ P(A \text{ and } B) = P(A) \times P(B) \]

Given \( P(A) = 0.3 \) and \( P(B) = 0.2 \),

\[ P(A \text{ and } B) = 0.3 \times 0.2 = 0.06 \]

2. **Mutually Exclusive Events:** If \( A \) and \( B \) are mutually exclusive events, then \( P(A \text{ and } B) = 0 \), because the events cannot occur simultaneously.

\[ P(A \text{ and } B) = 0 \]

3. **General Case:** If no specific relationship is given, we cannot determine \( P(A \text{ and } B) \) solely based on the given information. Additional data on the dependency or overlap between the events is required.

### Conclusion:

Without specific information about whether the events \( A \) and \( B \) are independent or mutually exclusive, the exact value of \( P(A \text{ and } B) \) cannot be determined beyond the individual probabilities provided. However, under the assumption of independence, \( P(A \text{ and } B) = 0.06 \).
Transcribed Image Text:### Problem Statement: If \( P(A) = 0.3 \) and \( P(B) = 0.2 \), what is \( P(A \text{ and } B) \)? #### Explanation: To solve this, we need additional information about the relationship between events \( A \) and \( B \): 1. **Independent Events:** If \( A \) and \( B \) are independent events, then the probability of both \( A \) and \( B \) occurring is the product of their individual probabilities. \[ P(A \text{ and } B) = P(A) \times P(B) \] Given \( P(A) = 0.3 \) and \( P(B) = 0.2 \), \[ P(A \text{ and } B) = 0.3 \times 0.2 = 0.06 \] 2. **Mutually Exclusive Events:** If \( A \) and \( B \) are mutually exclusive events, then \( P(A \text{ and } B) = 0 \), because the events cannot occur simultaneously. \[ P(A \text{ and } B) = 0 \] 3. **General Case:** If no specific relationship is given, we cannot determine \( P(A \text{ and } B) \) solely based on the given information. Additional data on the dependency or overlap between the events is required. ### Conclusion: Without specific information about whether the events \( A \) and \( B \) are independent or mutually exclusive, the exact value of \( P(A \text{ and } B) \) cannot be determined beyond the individual probabilities provided. However, under the assumption of independence, \( P(A \text{ and } B) = 0.06 \).
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