Using the third axiom of probability for mutually exclusive events A - B and B, we have
P((A - B) U B) = P(A - B) + P(B)
=> P(A U B) = P(A - B) + P(B)
By second axiom, P(A - B) >= 0
=> P(A U B) >= P(B)
Let us call this inequality 1.
Also we have P(A) + P(A') = P(S).
By first axiom, P(S) = 1
=> P(A) + P(A') = 1
By second axiom, P(A') >= 0
=> 1 >= P(A)
Let us call this inequality 2
Adding inequalities 1 and 2
=> P(A U B) + 1 >= P(A) + P(B)
=> P(A U B) >= P(A) + P(B) - 1.
3. Using only the three axioms of probability, prove the Bonferroni inequality: P(AUB P(A) P(B)
2.28 Using the axioms of probability, prove Bonferroni's inequality: For events A and B, P(AB) 2 P(A) + P(B)-1
10] Q3. (a) Prove the Bonferroni Inequality on three events A1, A2 and A3: P(An Agn A)21-P(A)- P(A2) - P(Aa) (b) Using the results in Q3.(a), and clearly describing the events At, A2 and A3. construct a 100(1-a)% joint confidence intervals for estima- tion of three parameters, denoted by 01,02 and 03, say.
10] Q3. (a) Prove the Bonferroni Inequality on three events A1, A2 and A3: P(An Agn A)21-P(A)- P(A2) - P(Aa) (b) Using the results in Q3.(a), and...
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10 Q3. (a) Prove the Bonferroni Inequality on three events Ai, A2 and A: P(AinAnAS) 21- P(A) - P(A2)- P(As) (b) Using the results in Q3.(a), and clearly describing the events Ai, A2 and A3, construct a 100(1-a)% joint confidence intervals for estima- tion of three parameters, denoted by 0,02 and 03, say.
10 Q3. (a) Prove the Bonferroni Inequality on three events Ai, A2 and A: P(AinAnAS) 21- P(A) - P(A2)- P(As) (b) Using...
2. Prove the three-set version of the inclusion-exclusion principle: using P(AUB)-P(A) + P(B)
If P(E)9 and P(F)-.8, show that P(EnF)2.7. I inequality, namely, n general, prove Bonferroni s Use induction to generalized Bonferroni's inequality to n events and show the result.
By only use these axioms to solves the following two
questions. Thank you.
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2. Suppose A and B are two events. Use the axioms of probability to prove the following (a) P(AnB) 2 P(A) P(B) 1 (b) Show that the probability that one and only one of the events A or B occurs is P(A)+ P(B) -2P(AnB). 3. There are 9 lights labeled 1 to 9, and they are lined up in a row in Boelter Hall. or budget reasons, we are going to turn off 3 of them. For security purposes, we...
C3. Let A and B be events associated with sample space S. Using the axioms of probability and possibly the consequences of them to show that P(AUB) P(A) +P(B).
Proofs a) With conditional probability, P(A|B), the axioms of probability hold for the event on the left side of the bar. A useful consequence is applying the complement rule to conditional probability. We have that P(A|B) = 1 − P(A|B). Prove this by showing that P(A|B) + P(A|B) = 1 (Hint: just use the definition of conditional probability) b) If two events A and B are independent, then we know P(A ∩ B) = P(A)P(B). A fact is that if...
3. Let A, B, C be events in a sample space S. Prove that (a) P(AUB) P(A)P(B), (b) P(AUBUC) P(A)+P(B)+P(C)-P(AnB)-P(Anc)-P(Bnc)+P(AnBnc)