Step 1: Understanding the Concept:
This is a problem of conditional probability (Bayes' Theorem). We need to find the probability of a word given an observed event (visible letters "AN").
Step 2: Key Formula or Approach:
Let \( E_1 \) be the event that the word is KANPUR, and \( E_2 \) be the event that it is ANANTPUR. Let \( A \) be the event that "AN" is visible.
\[ P(E_2|A) = \frac{P(E_2)P(A|E_2)}{P(E_1)P(A|E_1) + P(E_2)P(A|E_2)} \]
Step 3: Detailed Explanation:
1. Assume \( P(E_1) = P(E_2) = 1/2 \).
2. In KANPUR (6 letters), consecutive pairs are: KA, AN, NP, PU, UR (Total 5).
"AN" appears once. So, \( P(A|E_1) = 1/5 \).
3. In ANANTPUR (8 letters), consecutive pairs are: AN, NA, AN, NT, TP, PU, UR (Total 7).
"AN" appears twice. So, \( P(A|E_2) = 2/7 \).
4. Apply Bayes' Theorem:
\[ P(E_2|A) = \frac{\frac{1}{2} \cdot \frac{2}{7}}{\frac{1}{2} \cdot \frac{1}{5} + \frac{1}{2} \cdot \frac{2}{7}} = \frac{2/7}{1/5 + 2/7} = \frac{2/7}{17/35} = \frac{2}{7} \cdot \frac{35}{17} = \frac{10}{17} \].
Step 4: Final Answer:
The probability is 10/17.