The problem involves finding the rank of a word in a dictionary-style arrangement, analyzing a probability distribution defined by a geometric progression, and then determining the sum of two parameters from the resulting probability expression.
1. Rank of a Word: The rank of a word in a dictionary is found by counting the number of words that lexicographically precede it. This is a permutation-based calculation where we fix letters in positions from left to right and count the possible arrangements of the remaining letters.
2. Geometric Progression (GP): The probabilities \( P(W_n) \) follow a GP, where \( P(W_n) = r \cdot P(W_{n-1}) \). The sum of a finite GP with first term \( a \), common ratio \( r \), and \( N \) terms is given by:
\[ S_N = \frac{a(r^N - 1)}{r - 1} \]
3. Total Probability: The sum of probabilities of all possible outcomes (all 120 words) must be equal to 1.
Step 1: Determine the total number of words possible.
The five distinct letters are A, B, C, D, E. The total number of five-letter words that can be formed by arranging these letters is:
\[ N = 5! = 5 \times 4 \times 3 \times 2 \times 1 = 120 \]
Step 2: Find the rank (serial number \(n\)) of the word CDBEA.
The letters in alphabetical order are A, B, C, D, E. We count the number of words that come before CDBEA in the dictionary.
1. Words starting with A: The remaining 4 letters (B, C, D, E) can be arranged in \( 4! = 24 \) ways.
2. Words starting with B: The remaining 4 letters (A, C, D, E) can be arranged in \( 4! = 24 \) ways.
3. Words starting with C: The first letter matches. We move to the second position. The available letters are A, B, D, E.
- Words starting with CA: The remaining 3 letters can be arranged in \( 3! = 6 \) ways.
- Words starting with CB: The remaining 3 letters can be arranged in \( 3! = 6 \) ways.
4. Words starting with CD: The second letter matches. We move to the third position. The available letters are A, B, E.
- Words starting with CDA: The remaining 2 letters can be arranged in \( 2! = 2 \) ways.
5. Words starting with CDB: The third letter matches. We move to the fourth position. The available letters are A, E.
- Words starting with CDBA: The last letter must be E. This gives the word CDBAE. There is \( 1! = 1 \) such word.
The next word in sequence is CDBEA.
The number of words before CDBEA is the sum of the counts above: \( 24 + 24 + 6 + 6 + 2 + 1 = 63 \). Therefore, the rank of the word CDBEA is \( n = 63 + 1 = 64 \).
Step 3: Determine the probability distribution.
We are given \( P(W_n) = 2 P(W_{n-1}) \) for \( n > 1 \). This defines a geometric progression. Let \( P(W_1) = p_0 \). Then \( P(W_n) = p_0 \cdot 2^{n-1} \). The sum of all probabilities must be 1:
\[ \sum_{n=1}^{120} P(W_n) = 1 \] \[ \sum_{n=1}^{120} p_0 \cdot 2^{n-1} = 1 \]
This is a GP with first term \( a = p_0 \), common ratio \( r = 2 \), and \( 120 \) terms. Using the sum formula:
\[ p_0 \left( \frac{2^{120} - 1}{2 - 1} \right) = 1 \] \[ p_0 (2^{120} - 1) = 1 \implies p_0 = \frac{1}{2^{120} - 1} \]
Step 4: Calculate the probability of the word CDBEA, which is \( P(W_{64}) \).
\[ P(W_{64}) = p_0 \cdot 2^{64-1} = p_0 \cdot 2^{63} \]
Substituting the value of \( p_0 \):
\[ P(CDBEA) = P(W_{64}) = \frac{1}{2^{120} - 1} \cdot 2^{63} = \frac{2^{63}}{2^{120} - 1} \]
We are given that \( P(CDBEA) = \frac{2^\alpha}{2^\beta - 1} \). Comparing this with our calculated value:
\[ \frac{2^{63}}{2^{120} - 1} = \frac{2^\alpha}{2^\beta - 1} \]
By direct comparison, we find:
\[ \alpha = 63 \quad \text{and} \quad \beta = 120 \]
The problem asks for the value of \( \alpha + \beta \).
\[ \alpha + \beta = 63 + 120 = 183 \]
The value of \( \alpha + \beta \) is 183.
Let \( P(W_1) = x \). Given \( P(W_n) = 2P(W_{n-1}) \). Then, \( P(W_2) = 2x \), \( P(W_3) = 2^2x \), ..., \( P(W_n) = 2^{n-1}x \). Since \( \sum_{i=1}^{120} P(W_i) = 1 \), we have \[ x + 2x + 2^2x + \dots + 2^{119}x = 1 \] \[ x(1 + 2 + 2^2 + \dots + 2^{119}) = 1 \] \[ x \cdot \frac{2^{120} - 1}{2 - 1} = 1 \] \[ x(2^{120} - 1) = 1 \] \[ x = \frac{1}{2^{120} - 1} \tag{1} \] Now, let's find the rank of CDBEA. A\_ \_ \_ \_ = \( 4! = 24 \) B = \( 4! = 24 \) CA = \( 3! = 6 \) CB = \( 3! = 6 \) CDA = \( 2! = 2 \) CDBAE = 1 CDBEA = 1 So, the rank of CDBEA is \[ 24 + 24 + 6 + 6 + 2 + 1 = 63 \]
Thus, CDBEA is \( W_{64} \). Therefore, \[ P(CDBEA) = P(W_{64}) = 2^{63} \cdot P(W_1) = 2^{63} \cdot \frac{1}{2^{120} - 1} \] \[ P(CDBEA) = \frac{2^{63}}{2^{120} - 1} \] Comparing with \( P(CDBEA) = \frac{2^\alpha}{2^\beta - 1} \), we have: \[ \alpha = 63,\quad \beta = 120 \] \[ \alpha + \beta = 63 + 120 = 183 \]
The probability of hitting the target by a trained sniper is three times the probability of not hitting the target on a stormy day due to high wind speed. The sniper fired two shots on the target on a stormy day when wind speed was very high. Find the probability that
(i) target is hit.
(ii) at least one shot misses the target. 
Smoking increases the risk of lung problems. A study revealed that 170 in 1000 males who smoke develop lung complications, while 120 out of 1000 females who smoke develop lung related problems. In a colony, 50 people were found to be smokers of which 30 are males. A person is selected at random from these 50 people and tested for lung related problems. Based on the given information answer the following questions: 
(i) What is the probability that selected person is a female?
(ii) If a male person is selected, what is the probability that he will not be suffering from lung problems?
(iii)(a) A person selected at random is detected with lung complications. Find the probability that selected person is a female.
OR
(iii)(b) A person selected at random is not having lung problems. Find the probability that the person is a male.
A substance 'X' (1.5 g) dissolved in 150 g of a solvent 'Y' (molar mass = 300 g mol$^{-1}$) led to an elevation of the boiling point by 0.5 K. The relative lowering in the vapour pressure of the solvent 'Y' is $____________ \(\times 10^{-2}\). (nearest integer)
[Given : $K_{b}$ of the solvent = 5.0 K kg mol$^{-1}$]
Assume the solution to be dilute and no association or dissociation of X takes place in solution.
Inductance of a coil with \(10^4\) turns is \(10\,\text{mH}\) and it is connected to a DC source of \(10\,\text{V}\) with internal resistance \(10\,\Omega\). The energy density in the inductor when the current reaches \( \left(\frac{1}{e}\right) \) of its maximum value is \[ \alpha \pi \times \frac{1}{e^2}\ \text{J m}^{-3}. \] The value of \( \alpha \) is _________.
\[ (\mu_0 = 4\pi \times 10^{-7}\ \text{TmA}^{-1}) \]