Math Problem Statement

If two events A and B are such that P(A^C) = 0.3, P(B) = 0.4, and P(A ∩ B^C) = 0.5, then what is the value of P(B / (A ∪ B^C))?

Solution

We are tasked with finding the value of P[BABC]\mathbb{P}\left[\frac{B}{A \cup B^C}\right], given the following probabilities:

  • P(AC)=0.3\mathbb{P}(A^C) = 0.3
  • P(B)=0.4\mathbb{P}(B) = 0.4
  • P(ABC)=0.5\mathbb{P}(A \cap B^C) = 0.5.

Solution:

Let us proceed step by step.

Step 1: Determine P(A)\mathbb{P}(A)

We know that: P(A)+P(AC)=1\mathbb{P}(A) + \mathbb{P}(A^C) = 1 Substituting P(AC)=0.3\mathbb{P}(A^C) = 0.3: P(A)=10.3=0.7\mathbb{P}(A) = 1 - 0.3 = 0.7

Step 2: Determine P(BC)\mathbb{P}(B^C)

Similarly, we know: P(B)+P(BC)=1\mathbb{P}(B) + \mathbb{P}(B^C) = 1 Substituting P(B)=0.4\mathbb{P}(B) = 0.4: P(BC)=10.4=0.6\mathbb{P}(B^C) = 1 - 0.4 = 0.6

Step 3: Find P(ABC)\mathbb{P}(A \cup B^C)

Using the formula for the union of two events: P(ABC)=P(A)+P(BC)P(ABC)\mathbb{P}(A \cup B^C) = \mathbb{P}(A) + \mathbb{P}(B^C) - \mathbb{P}(A \cap B^C) Substitute the values:

  • P(A)=0.7\mathbb{P}(A) = 0.7
  • P(BC)=0.6\mathbb{P}(B^C) = 0.6
  • P(ABC)=0.5\mathbb{P}(A \cap B^C) = 0.5 P(ABC)=0.7+0.60.5=0.8\mathbb{P}(A \cup B^C) = 0.7 + 0.6 - 0.5 = 0.8

Step 4: Use the conditional probability formula

The conditional probability formula is: P[BABC]=P(B(ABC))P(ABC)\mathbb{P}\left[\frac{B}{A \cup B^C}\right] = \frac{\mathbb{P}(B \cap (A \cup B^C))}{\mathbb{P}(A \cup B^C)}

  • The numerator P(B(ABC))\mathbb{P}(B \cap (A \cup B^C)) is simply P(B)\mathbb{P}(B), because BB is a subset of ABCA \cup B^C. P(B(ABC))=P(B)=0.4\mathbb{P}(B \cap (A \cup B^C)) = \mathbb{P}(B) = 0.4
  • The denominator P(ABC)\mathbb{P}(A \cup B^C) is already calculated as 0.80.8.

Thus: P[BABC]=0.40.8=0.5\mathbb{P}\left[\frac{B}{A \cup B^C}\right] = \frac{0.4}{0.8} = 0.5

Final Answer:

12 (Option B)\boxed{\frac{1}{2} \text{ (Option B)}}

Would you like a more detailed explanation of any step? Let me know!


Related Questions:

  1. What is the formula for conditional probability, and why does it work?
  2. How do you calculate P(AB)\mathbb{P}(A \cup B) when probabilities overlap?
  3. Can the value of P(B)\mathbb{P}(B) change depending on P(BC)\mathbb{P}(B^C)? If so, how?
  4. What does P(AC)\mathbb{P}(A^C) mean conceptually in probability theory?
  5. How do you interpret conditional probabilities in real-world problems?

Tip:

Always verify the complements (ACA^C or BCB^C) when solving probability problems to ensure no errors in calculations.

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Math Problem Analysis

Mathematical Concepts

Probability
Conditional Probability
Union and Intersection of Events

Formulas

P(A^C) = 1 - P(A)
P(A ∪ B) = P(A) + P(B) - P(A ∩ B)
P(B / (A ∪ B^C)) = P(B ∩ (A ∪ B^C)) / P(A ∪ B^C)

Theorems

Law of Total Probability
Basic Set Operations

Suitable Grade Level

Grades 11-12