Answer:
a) [tex] P(A') = 1-P(A) = 1-0.3=0.7[/tex]
b) [tex] P(A \cup B) =0.3 +0.2- 0.1=0.4[/tex]
c) [tex] P[(A \cup B)'] = 1-P(A \cup B) = 1-0.4 =0.6[/tex]
d) For this case we can find first this probability:
[tex] P(A' \cup B) = P(A') +P(B) -P(A' \cap B) = 0.7+0.1 -0.1 =0.7[/tex]
And then using the complement rule we got:
[tex] P[(A' \cup B)']= 1-P(A' \cup B) = 1-0.7=0.3[/tex]
Step-by-step explanation:
For this case we define two events A and B with the following probabilities:
[tex] P(A) =0.3 , P(B) =0.2, P(A \cap B) =0.1[/tex]
And we want to find the following probabilities:
(a) P (A')
For this case we can use the complement rule and we got:
[tex] P(A') = 1-P(A) = 1-0.3=0.7[/tex]
(b) P (A U B)
For this case we can use the total probability rule and we got:
[tex] P(A \cup B) = P(A) +P(B) -P(A \cap B)[/tex]
And if we replace we got:
[tex] P(A \cup B) =0.3 +0.2- 0.1=0.4[/tex]
(c) P [(A U B)']
For this case we can use the complement rule again and we have this:
[tex] P[(A \cup B)'] = 1-P(A \cup B) = 1-0.4 =0.6[/tex]
(d) P (A' U B)'
For this case we can find first this probability:
[tex] P(A' \cup B) = P(A') +P(B) -P(A' \cap B) = 0.7+0.1 -0.1 =0.7[/tex]
And then using the complement rule we got:
[tex] P[(A' \cup B)']= 1-P(A' \cup B) = 1-0.7=0.3[/tex]