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A fair coin is tossed repeatedly until t...

A fair coin is tossed repeatedly until two consecutive heads are obtained. If the probability that 2 consecutive heads occur on fourth and fifth toss is p, then `(30)/(p)` is equal to

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To solve the problem, we need to find the probability \( p \) that two consecutive heads occur on the fourth and fifth toss of a fair coin. Let's break down the steps: ### Step 1: Understanding the conditions We need to determine the outcomes of the first five tosses of the coin such that: - The fourth toss is a head (H). - The fifth toss is also a head (H). - The third toss must be a tail (T) to avoid having two consecutive heads before the fourth toss. Thus, the sequence of the first five tosses must look like this: - \( X_1, X_2, T, H, H \) where \( X_1 \) and \( X_2 \) can be either heads (H) or tails (T), but cannot both be heads. ### Step 2: Analyzing possible outcomes for \( X_1 \) and \( X_2 \) Since we need to avoid having two consecutive heads in the first three tosses, we can have the following combinations for \( X_1 \) and \( X_2 \): 1. \( (H, T) \) 2. \( (T, H) \) 3. \( (T, T) \) ### Step 3: Calculating probabilities for each case 1. **Case 1: \( (H, T) \)** - Probability = \( P(H) \times P(T) = \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \) 2. **Case 2: \( (T, H) \)** - Probability = \( P(T) \times P(H) = \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \) 3. **Case 3: \( (T, T) \)** - Probability = \( P(T) \times P(T) = \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \) ### Step 4: Total probability for \( X_1 \) and \( X_2 \) Now, we sum the probabilities of the valid cases: - Total probability \( P_1 = \frac{1}{4} + \frac{1}{4} + \frac{1}{4} = \frac{3}{4} \) ### Step 5: Probability of the fixed tosses The probability of the fixed tosses (T, H, H) is: - \( P(T) \times P(H) \times P(H) = \frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} = \frac{1}{8} \) ### Step 6: Total probability \( p \) Thus, the total probability \( p \) that two consecutive heads occur on the fourth and fifth toss is: \[ p = P_1 \times P(T, H, H) = \frac{3}{4} \times \frac{1}{8} = \frac{3}{32} \] ### Step 7: Finding \( \frac{30}{p} \) Now, we need to find \( \frac{30}{p} \): \[ \frac{30}{p} = \frac{30}{\frac{3}{32}} = 30 \times \frac{32}{3} = \frac{960}{3} = 320 \] ### Final Answer Thus, the value of \( \frac{30}{p} \) is \( \boxed{320} \).
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