Step 1: Understanding the problem.
We are asked to find the probability that a respondent from Mumbai will watch only "India Decides at 9." We are given certain probabilities for those who watch multiple programs. We need to use this information to calculate the probability for the specific case of watching only "India Decides at 9."
Step 2: Given Information.
- 5% of the viewers in Mumbai watch all three News programs.
- 8% of the viewers watch India at 9 and India Decides at 9.
- 6% of the viewers watch both India Decides at 9 and News Hour.
Let the total number of viewers in Mumbai be 100%. We can break the probabilities into different categories using the principle of inclusion and exclusion.
Step 3: Define variables.
- Let \( P(A \cap B \cap C) = 0.05 \) be the probability that viewers watch all three programs.
- Let \( P(A \cap B) = 0.08 \) be the probability that viewers watch both India at 9 and India Decides at 9.
- Let \( P(B \cap C) = 0.06 \) be the probability that viewers watch both India Decides at 9 and News Hour.
We are tasked with finding the probability that a viewer watches only "India Decides at 9," which is represented as \( P(B \setminus (A \cup C)) \), the probability of watching India Decides at 9 but not the other two programs.
Step 4: Applying the inclusion-exclusion principle.
The probability of watching both India at 9 and India Decides at 9 but not News Hour is:
\[
P(A \cap B \setminus C) = P(A \cap B) - P(A \cap B \cap C) = 0.08 - 0.05 = 0.03
\]
Similarly, the probability of watching both India Decides at 9 and News Hour but not India at 9 is:
\[
P(B \cap C \setminus A) = P(B \cap C) - P(A \cap B \cap C) = 0.06 - 0.05 = 0.01
\]
Thus, the probability of watching only India Decides at 9 is:
\[
P(B \setminus (A \cup C)) = P(B) - P(A \cap B) - P(B \cap C) + P(A \cap B \cap C)
\]
We know that the probability of watching India Decides at 9 is the sum of the viewers who watch only that program, those who watch both India at 9 and India Decides at 9, and those who watch both India Decides at 9 and News Hour:
\[
P(B) = P(A \cap B \setminus C) + P(B \cap C \setminus A) + P(A \cap B \cap C) = 0.03 + 0.01 + 0.05 = 0.09
\]
Thus, the probability of watching only India Decides at 9 is:
\[
P(B \setminus (A \cup C)) = 0.09 - 0.03 - 0.01 = 0.094
\]
Step 5: Conclusion.
The correct answer is (B) 0.094, which is the probability that a respondent from Mumbai will watch only "India Decides at 9."