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Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E∩F) = 0.2 then P(E|F) ?

Question

Given that

  • P(E) = 0.6
  • P(F) = 0.3
  • P(E ∩ F) = 0.2

then P(E|F) ?

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Solution

1. Break Down the Problem

To find P(EF) P(E|F) , we will use the conditional probability formula:

P(EF)=P(EF)P(F) P(E|F) = \frac{P(E \cap F)}{P(F)}

2. Relevant Concepts

  • Conditional Probability Formula: P(AB)=P(AB)P(B) P(A|B) = \frac{P(A \cap B)}{P(B)}

3. Analysis and Detail

We'll apply the values provided:

  1. Given Values:

    • P(E)=0.6 P(E) = 0.6
    • P(F)=0.3 P(F) = 0.3
    • P(EF)=0.2 P(E \cap F) = 0.2
  2. Substituting into the Formula:

    P(EF)=P(EF)P(F)=0.20.3 P(E|F) = \frac{P(E \cap F)}{P(F)} = \frac{0.2}{0.3}

4. Verify and Summarize

Now let’s calculate:

P(EF)=0.20.3=230.6667 P(E|F) = \frac{0.2}{0.3} = \frac{2}{3} \approx 0.6667

Final Answer

Thus, the probability P(EF) P(E|F) is approximately 0.6667 0.6667 or 23 \frac{2}{3} .

This problem has been solved

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