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If two natural r and s are drawn one at ...

If two natural r and s are drawn one at a time, without replacement from the set S = { 1 , 2 , 3 , ….., n} , then find `P ( r le p // s le p)` where `p in S`.

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To solve the problem of finding the probability \( P(r \leq p \,|\, s \leq p) \) where \( r \) and \( s \) are drawn from the set \( S = \{1, 2, 3, \ldots, n\} \) without replacement, we can follow these steps: ### Step 1: Understand the scenario We are drawing two numbers \( r \) and \( s \) from the set \( S \) without replacement. We want to find the conditional probability that \( r \) is less than or equal to \( p \) given that \( s \) is less than or equal to \( p \). ### Step 2: Define the events Let: - Event A: \( r \leq p \) - Event B: \( s \leq p \) We need to find \( P(A | B) \), which is given by the formula: \[ P(A | B) = \frac{P(A \cap B)}{P(B)} \] ### Step 3: Calculate \( P(B) \) To find \( P(B) \), we need to determine the total number of ways to choose \( s \) such that \( s \leq p \). The possible choices for \( s \) are from the numbers \( 1, 2, \ldots, p \), which gives us \( p \) choices. Since we are drawing without replacement, after choosing \( s \), we have \( n - 1 \) choices left for \( r \). Therefore, the total number of favorable outcomes for event B is \( p \) (choices for \( s \)) multiplied by \( n - 1 \) (choices for \( r \)): \[ P(B) = \frac{p(n-1)}{n(n-1)} = \frac{p}{n} \] ### Step 4: Calculate \( P(A \cap B) \) Next, we need to find \( P(A \cap B) \), which is the probability that both \( r \leq p \) and \( s \leq p \). If \( s \) is chosen from the first \( p \) numbers, then \( r \) can also be chosen from these \( p \) numbers. Thus, the number of favorable outcomes for both events is \( p \) (choices for \( s \)) multiplied by \( p - 1 \) (choices for \( r \) since \( r \) cannot be equal to \( s \)): \[ P(A \cap B) = \frac{p(p-1)}{n(n-1)} \] ### Step 5: Substitute into the conditional probability formula Now we can substitute \( P(A \cap B) \) and \( P(B) \) into the conditional probability formula: \[ P(A | B) = \frac{P(A \cap B)}{P(B)} = \frac{\frac{p(p-1)}{n(n-1)}}{\frac{p}{n}} = \frac{(p-1)}{(n-1)} \] ### Final Result Thus, the final probability is: \[ P(r \leq p \,|\, s \leq p) = \frac{p-1}{n-1} \]
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