In: Statistics and Probability
Let A , B , and C be disjoint subsets of the sample space. For each one of the following statements, determine whether it is true or false. Note: "False" means "not guaranteed to be true."
a) P(A)+P(Ac)+P(B)=P(A∪Ac∪B)
b) P(A)+P(B)≤1
c) P(Ac)+P(B)≤1
d) P(A∪B∪C)≥P(A∪B)
e) P((A∩B)∪(C∩Ac))≤P(A∪B∪C)P((A∩B)∪(C∩Ac))≤P(A∪B∪C)
f) P(A∪B∪C)=P(A∩Cc)+P(C)+P(B∩Ac∩Cc)
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Please explain how you got the answer.
a.)
P(A)+P(Ac)+P(B)=P(A∪Ac∪B)
Taking RHS,
P(A∪Ac∪B) = P(A) + P(Ac) + P(B) +P(A Ac) - P(A Ac) - P(A B) - P(B Ac) + P(A B Ac)
Now, A Ac = NULL, P(A Ac) = 0
Since A and B are disjoint, So, A B = NULL, P(A B) = 0
Now For Ac B
From above diagram,
Ac B = B, So, P(Ac B) = P(B)
So, Ac B A = NULL, P(Ac B A) = 0
This results in,
P(A∪Ac∪B) = P(A) + P(Ac) + P(B) - 0 - 0 - P(B) - 0
P(A∪Ac∪B) = P(A) + P(Ac) which is not equal to Left hand side(LHS) Hnece above statement is False
b.) P(A) + P(B) 1
The Probability of whole Sample Space is equal to 1.
-> If we don't consider C and complement of A and B, the sum of probabilities is always less than 1.
The below image proves the above statement
-> In case if P(C) = 0, and whole sample constitutes of only A and B. Then,
P(A) + P(B) = 1
So, above 2 statements prove that P(A) + P(B) 1. Hence it is True.
c.) P(Ac) + P(B) 1
The above statement is not always True. Consider below 2 examples,
-> Case when P(A) > P(B)
Let's say P(A) = 0.2, P(B) = 0.1, P(C) = 0.3
So, P(Ac) = 1 - 0.2 = 0.8
P(Ac) + P(B) = 0.9 which is less than 1. Hence above statment hold true.
-> Case when P(A) < P(B)
Let's say P(A) = 0.1, P(B) = 0.3, P(C) = 0.2
So, P(Ac) = 1 - 0.1 = 0.9
P(Ac) + P(B) = 1.2 which is more than 1. Hence above statment hold False.
Hence statement P(Ac) + P(B) 1 is False.
d.)
P(AUBUC) P(AUB)
Since A, B and C are disjoint so by property,
P(AUBUC) = P(A) + P(B) + P(C) --------(1)
P(AUB) = P(A) + P(B) --------(2)
From above 2 equations,
P(AUBUC) is always greater than P(AUB). In Case if P(C) = 0, then P(AUBUC) is equals to P(AUB)
Hence, statement P(AUBUC) P(AUB) is always TRUE