The sample space S is depicted by the Venn Diagram below. P(A) = 0.35, P(B) = 0.67,P(C) = 0.13 P(An B) = 0.05, P (A n C) = 0.13, P (B n C) = 0.07 Given that P(A UBUC) = 1, calculate the following probabilities: (a) P (AUB) (b) P(BIC) (c) P(An BNC) A с B

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### Understanding Venn Diagrams and Probabilities in Set Theory

The sample space \( S \) is depicted by the Venn Diagram below.

Given probabilities:
\[ P(A) = 0.35, \; P(B) = 0.67, \; P(C) = 0.13 \]
\[ P(A \cap B) = 0.05, \; P(A \cap C') = 0.13, \; P(B \cap C) = 0.07, \; P(A \cup B \cup C) = 1 \]

The goal is to calculate the following probabilities:
(a) \( P(A \cup B) \)
(b) \( P(B|C) \)
(c) \( P(A \cap B \cap C) \)

#### Venn Diagram Explanation

The Venn diagram included illustrates three events \( A \), \( B \), and \( C \), each represented by a circle. The intersections of these circles depict the interactions between events, allowing us to visualize and calculate combined probabilities.

**(a) Calculating \( P(A \cup B) \):**

\[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \]

Using the given values:
\[ P(A \cup B) = 0.35 + 0.67 - 0.05 \]
\[ P(A \cup B) = 0.97 \]

**(b) Calculating \( P(B|C) \):**

\[ P(B|C) = \frac{P(B \cap C)}{P(C)} \]

Using the given values:
\[ P(B|C) = \frac{0.07}{0.13} \]
\[ P(B|C) = 0.538 \] (approx.)

**(c) Calculating \( P(A \cap B \cap C) \):**

From the given data:
\[
P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C') + P(A \cap B \cap C)
\]

Given \( P(A \cup B \cup C) = 1 \):
\[ 1 = 0.35 + 0.67 + 0.13 - 0.05 -
Transcribed Image Text:### Understanding Venn Diagrams and Probabilities in Set Theory The sample space \( S \) is depicted by the Venn Diagram below. Given probabilities: \[ P(A) = 0.35, \; P(B) = 0.67, \; P(C) = 0.13 \] \[ P(A \cap B) = 0.05, \; P(A \cap C') = 0.13, \; P(B \cap C) = 0.07, \; P(A \cup B \cup C) = 1 \] The goal is to calculate the following probabilities: (a) \( P(A \cup B) \) (b) \( P(B|C) \) (c) \( P(A \cap B \cap C) \) #### Venn Diagram Explanation The Venn diagram included illustrates three events \( A \), \( B \), and \( C \), each represented by a circle. The intersections of these circles depict the interactions between events, allowing us to visualize and calculate combined probabilities. **(a) Calculating \( P(A \cup B) \):** \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \] Using the given values: \[ P(A \cup B) = 0.35 + 0.67 - 0.05 \] \[ P(A \cup B) = 0.97 \] **(b) Calculating \( P(B|C) \):** \[ P(B|C) = \frac{P(B \cap C)}{P(C)} \] Using the given values: \[ P(B|C) = \frac{0.07}{0.13} \] \[ P(B|C) = 0.538 \] (approx.) **(c) Calculating \( P(A \cap B \cap C) \):** From the given data: \[ P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C') + P(A \cap B \cap C) \] Given \( P(A \cup B \cup C) = 1 \): \[ 1 = 0.35 + 0.67 + 0.13 - 0.05 -
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