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2.3 Exercise 21

Avg difficulty 2.5

Data are: P(A)=0.4,P(AB)=0.3,P(ABC)=0.25,P(C)=0.65,P \left(A\right) = 0 . 4 , P \left(A B\right) = 0 . 3 , P \left(A B C\right) = 0 . 25 , P \left(C\right) = 0 . 65 ,

P(AcCc)=0.3P \left(A^{c} C^{c}\right) = 0 . 3. Determine available minterm probabilities and the following,

if computable:

P ( A C c ∪ A c C ) , P ( A c B c ) , P ( A ∪ B ) , P ( A B c ) P \left(A C^{c} \cup A^{c} C\right) , P \left(A^{c} B^{c}\right) , P \left(A \cup B\right) , P \left(A B^{c}\right)

With only six items of data (including P(Ω)=P(A⋁Ac)=1P \left(\Omega\right) = P \left(A \vee A^{c}\right) = 1), not all minterms are available. Try the additional data P(AcBCc)=0.1P \left(A^{c} B C^{c}\right) = 0 . 1 and P(AcBc)=0.3P \left(A^{c} B^{c}\right) = 0 . 3. Are these consistent and linearly independent? Are all minterm probabilities available?

Pfeiffer, Applied Probability, 2.3 Problems on Minterm Analysis, exercise 21

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Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.