In all of the following questions, let be a sample space with a probability measure P, and let A, BC be events. B1. (a) Starting from just the three probability axioms, prove that P(0) = 0. (b) Let A and B be two events with P(A) = 0.8 and P(B) = 0.4. Prove the upper bound P(ANB) ≤ 0.4. You may use any of the properties of probability stated in the lecture notes. (c) Prove that the upper bound in (b) can be achieved, by giving an example of a sample space, a probability measure P and events A, BC such that P(A) = 0.8, P(B) = 0.4 and P(ANB) = 0.4.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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In all of the following questions, let be a sample space with a probability measure P, and let
A, BC be events.
B1.
(a) Starting from just the three probability axioms, prove that
P(0) = 0.
(b) Let A and B be two events with P(A) = 0.8 and P(B) = 0.4. Prove the upper bound
P(ANB) ≤ 0.4. You may use any of the properties of probability stated in the lecture
notes.
(c) Prove that the upper bound in (b) can be achieved, by giving an example of a sample
space, a probability measure P and events A, BC such that P(A) = 0.8, P(B) = 0.4
and P(ANB) = 0.4.
Transcribed Image Text:In all of the following questions, let be a sample space with a probability measure P, and let A, BC be events. B1. (a) Starting from just the three probability axioms, prove that P(0) = 0. (b) Let A and B be two events with P(A) = 0.8 and P(B) = 0.4. Prove the upper bound P(ANB) ≤ 0.4. You may use any of the properties of probability stated in the lecture notes. (c) Prove that the upper bound in (b) can be achieved, by giving an example of a sample space, a probability measure P and events A, BC such that P(A) = 0.8, P(B) = 0.4 and P(ANB) = 0.4.
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