Answer :
Answer:
(a) P(A and B) =0.0864
(b) P(A or B)= 0.8736
(c) P(A|B) =0.1108
Step-by-step explanation:
Probability: The ratio of the favorable outcome to the the total outcomes.
P(A∩B) means the common element of A and B event.
P(A∪B) means all element of A and B event.
Conditional probability:A probability of a event occurring with some presents another event .
[tex]P(A|B)=\frac{P(A\bigcap B)}{P(B)}[/tex]
Given, P(A) = 0.18 , P(B)=0.78 and P(B|A)=0.48
We know that,
[tex]P(B|A)=\frac{P(A\bigcap B)}{P(A)}[/tex]
[tex]\Rightarrow P(A\bigcap B)=P(B|A)P(A)[/tex]
[tex]\Rightarrow P(A\bigcap B)=0.48 \times 0.18[/tex]
[tex]\Rightarrow P(A\bigcap B)= 0.0864[/tex]
(a)
If two event are independents means the outcome of one event does not affect the outcome of other.
Then P(A and B)= P(A)× P(B)
If two event are dependent means the outcome of one event affects the outcome of other.
Then P(A and B)= P(A)P(B|A)
Since here A and B dependent .
Then P(A and B)= P(A∩B)
P(A and B)= 0.0864
(b)
If two events are mutually exclusive.
Then P(A or B)= P(A)+P(B)
If two events are non mutually exclusive.
Then P(A or B)=P(A)+P(B)-P(A and B)
Therefore
P(A or B)=P(A)+P(B)-P(A and B)
⇒ P(A or B)= 0.18+0.78-0.0864
⇒P(A or B)= 0.8736
(c)
[tex]P(A|B)=\frac{P(A\bigcap B)}{P(B)}[/tex]
[tex]\Rightarrow P(A|B)=\frac{0.0864}{0.78}[/tex]
=0.11076
≈ 0.1108