Three students , , and are given a problem to solve. Consider the following events:: At least one of , , and can solve the problem,: can solve the problem, given that neither nor can solve the problem,: can solve the problem and cannot solve the problem,: can solve the problem.For any event , let denote the probability of . Ifand where and are coprime positive integers, find the value of .\
[THOUGHT] To solve this problem, we need to find the probability ( P(A) ) that at least one of the students ( S_1, S_2, ) or ( S_3 ) can solve the problem. We are given probabilities for events ( B, C, ) and ( D ), which relate to the students' abilities to solve the problem under certain conditions.
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Event Definitions:
- ( A ): At least one student can solve the problem.
- ( B ): ( S_1 ) can solve the problem given that neither ( S_2 ) nor ( S_3 ) can solve it. This is a conditional probability: ( P(B) = P(S_1 \text{ solves} \mid S_2 \text{ and } S_3 \text{ do not solve}) ).
- ( C ): ( S_2 ) can solve the problem and ( S_3 ) cannot. This is ( P(S_2 \text{ solves and } S_3 \text{ does not solve}) ).
- ( D ): ( S_3 ) can solve the problem. This is ( P(S_3 \text{ solves}) ).
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Given Probabilities:
- ( P(B) = \frac{1}{2} )
- ( P(C) = \frac{1}{10} )
- ( P(D) = \frac{1}{12} )
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Approach:
- First, express ( P(B) ) in terms of the probabilities of the students solving the problem. Let ( p_1, p_2, p_3 ) be the probabilities that ( S_1, S_2, S_3 ) can solve the problem, respectively.
- ( P(B) = \frac{P(S_1 \text{ solves})}{P(S_2 \text{ and } S_3 \text{ do not solve})} = \frac{p_1}{(1 - p_2)(1 - p_3)} = \frac{1}{2} ).
- ( P(C) = p_2 (1 - p_3) = \frac{1}{10} ).
- ( P(D) = p_3 = \frac{1}{12} ).
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Solve for ( p_2 ):
- From ( P(C) = p_2 (1 - p_3) = \frac{1}{10} ) and ( p_3 = \frac{1}{12} ), we can solve for ( p_2 ).
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Solve for ( p_1 ):
- Using ( P(B) = \frac{p_1}{(1 - p_2)(1 - p_3)} = \frac{1}{2} ), we can solve for ( p_1 ).
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Calculate ( P(A) ):
- ( P(A) = 1 - P(\text{None solve}) = 1 - (1 - p_1)(1 - p_2)(1 - p_3) ).
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Simplify ( P(A) ) to the form ( \frac{p}{q} ) and compute ( p^2 + q^2 ).
[/THOUGHT] [PYTHON] from fractions import Fraction
Given probabilities
P_B = Fraction(1, 2) P_C = Fraction(1, 10) P_D = Fraction(1, 12)
p3 is P(D)
p3 = P_D
Solve for p2 using P(C) = p2 * (1 - p3)
p2 = P_C / (1 - p3)
Solve for p1 using P(B) = p1 / ((1 - p2) * (1 - p3))
p1 = P_B * (1 - p2) * (1 - p3)
Calculate P(A) = 1 - (1 - p1)(1 - p2)(1 - p3)
P_A = 1 - (1 - p1) * (1 - p2) * (1 - p3)
Simplify P_A to p/q
p = P_A.numerator q = P_A.denominator
Compute p^2 + q^2
result = p2 + q2
print(result) [/PYTHON]
[THOUGHT] The Python output confirms that ( p^2 + q^2 = 65685841 ). This is the final answer based on the calculations. [/THOUGHT] \boxed{65685841}