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The solutions to exam 1 of the probability theory course offered in spring 2007. It includes calculations for various probabilities using bayes' theorem and conditional probabilities. Students can use this document to check their understanding of the concepts covered in the exam.
Typology: Exams
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a) Denote by A, B, C, D, and E respectively, the following events:
A : heart failure is due to induced substances B : heart failure is due to outside factors C : heart failure is due to natural occurrences D : heart failure is due to disease E : heart failure is due to infection
P (A) = P (A | B) · P (B) + P (A | C) · P (C) = 0. 73 · 0 .13 + 0 · 0. 87 = 0. 0949
b) P (D ∪ E) = P (D) + P (E). Now,
P (D) = P (D | B) · P (B) + P (D | C) · P (C) = 0 · 0 .13 + 0. 27 · 0. 87 = 0. 2349 , and
Thus P (D ∪ E) = 0.2349 + 0.1479 = 0. 3828.
a)
P (B | A) =
P (B | A) 6 = P (B) ⇒ events A and B are not independent
b)
P (B | A) = 2230 = 1130 = 0. 733
Let A, B, C be the following events:
A = user is legitimate B = user is fraudulent C = call is originated from two or more metropolitan areas
From the problem statement we have:
P (C | B) = 0. 3 P (C | A) = 0. 01 P (B) = 0. 0001
Through Bayes’ theorem, we can now compute the required probability:
Define PA, PB , PC to be the probabilities that respectively A, B, and C function properly.
(a) PA = P (all 20 ICs of A work) = (1 − 0 .01)^20 = 0.8179.
(b) PB = 1 − P (none of the 20 ICs of B works) = 1 − 0. 0120 = 1 − 10 −^40.
(c) PC = P (20 ICs of C work) + P (19 ICs of C work) = (1 − 0 .01)^20 + C 1920 · (1 − 0 .01)^19 · 0. 011 =
(d) Let PD = P(product functions properly). Then PD = PA · PB · PC =. 80.
(e) Apply Bayes rule.
P (set A fails|product fails) = P (product fails|set A fails) × P (set A fails) P (product fails)