Respuesta :
Answer:
(a)The probability that a person 65 or over and has a loan is 0.052.
(b)The probability that a person 65 or over and has a loan is 0.476
(c) The probability that a person is 65 or over and has a loan independent is 0.0952
Step-by-step explanation:
Conditional probability:
Let A and B any two event is connected to a given random experiment E. The conditional probability of the event A on the hypothesis that the event B is occurred, denoted by P(A|B), is defined as,
[tex]P(A|B)=\frac{P(A\cap B)}{P(B)}[/tex]
So, P(A∩B) = P(B).P(A|B)
Given that,
The age of 20% of population are 65 years or over.
26% of those whose age 65 years or more have loans.
53% of those whose age under 65 years have loans.
E= the person is 65 or more.
F= the person has loan.
P(E)= 20%=0.2
P(F|E)=26%=0.26
P(F|E')=53%=0.53
So,
P(E')=1-0.2=0.8
P(F'|E)= 1-0.26=0.74
P(F'|E')= 1-0.53=0.47
(a)
The probability that a person 65 or over and has a loan is
=P(E∩F)
=P(F|E).P(E)
=0.26×0.2
=0.052
(b)
A person who has a loan either 65 or more , or under 65.
P(F)= P(F∩E)+P(F∩E')
   =P(F∩E)+P(E').P(F|E')
   = 0.052+ (0.8).(0.53)
   =0.476
(c)
Independent event:
If A and B are two independent event,
Then,P(A∩B)=P(A).P(B)
The probability that a person is 65 or over and has a loan independent is
=P(E∩F)
=P(E).P(F)
=(0.2)×(0.476)
=0.0952 Â
The probability that a person is 65 or over and has a loan is 0.052, the probability that a person has a loan is 0.476, and the probability that a person is 65 or over and that the person has a loan independent is 0.0952.
Given :
Suppose 20% of the population are 65 or over, 26% of those 65 or over have loans, and 53% of those under 65 have loans.
Let A represent the person who is 65 or more and B represents the person who has a loan.
If (P(A) = 20% = 0.2) then (P(A') = 1 - 0.2 = 0.8)
If (P(B|A) = 26% = 0.26) then (P(B'|A) = 1 - 0.26 = 0.74)
If (P(B|A') = 53% = 0.53) then (P(B'|A') = 1 - 0.53 = 0.47)
a) The probability that a person is 65 or over and has a loan is:
[tex]\rm = P(A\cap B)[/tex]
[tex]\rm = P(B|A)\times P(A)[/tex]
[tex]=0.26\times 0.2[/tex]
= 0.052
b) The probability that a person has a loan is:
[tex]\rm P(B) = P(A\cap B)+P(B\cap A')[/tex]
    [tex]\rm = P(B \cap A)+P(A')\times P(B|A')[/tex]
    [tex]=0.52+0.8\times 0.53[/tex]
    = 0.476
c) The probability that a person is 65 or over and that the person has a loan independent is:
[tex]= \rm P(A\cap B)[/tex]
= P(A).P(B)
= (0.2)[tex]\times[/tex](0.476)
= 0.0952
For more information, refer to the link given below:
https://brainly.com/question/23044118