Respuesta :
Let [tex]D[/tex] denote the event that an HD is defective, and [tex]F_i[/tex] the event that a particular HD was produced at facility [tex]i[/tex].
You are asked to compute
[tex]\mathbb P(F_2\mid D)[/tex]
[tex]\mathbb P(F_4\mid D)[/tex]
[tex]\mathbb P(D^C)[/tex]
From the definition of conditional probabilities, the first two will require that you first find [tex]\mathbb P(D)[/tex]. Once you have this, part (c) is trivial.
I'll demonstrate the computation for part (a). Part (b) is nearly identical.
(a)
[tex]\mathbb P(F_2\mid D)=\dfrac{\mathbb P(F_2\cap D)}{\mathbb P(D)}[/tex]
Presumably, the facility responsible for producing a given HD is independent of whether the HD is defective or not, so [tex]\mathbb P(F_2\cap D)=\mathbb P(F_2)\mathbb P(D)=0.20\times0.015[/tex].
Use the law of total probability to determine the value of the denominator:
[tex]\mathbb P(D)=\mathbb P(D\mid F_1)+\mathbb P(D\mid F_2)+\mathbb P(D\mid F_3)+\mathbb P(D\mid F_4)[/tex]
We know each of the component probabilities because they are given explicitly: 0.015, 0.02, 0.01, and 0.03, respectively. So
[tex]\mathbb P(D)=0.015+0.02+0.01+0.03=0.075[/tex]
and thus
[tex]\mathbb P(F_2\mid D)=\dfrac{0.2\times0.015}{0.075}=0.04[/tex]
(b) Similarly,
[tex]\mathbb P(F_4\mid D)=\dfrac{0.4\times0.03}{0.075}=0.16[/tex]
(c)
[tex]\mathbb P(D^C)=1-\mathbb P(D)=0.925[/tex]
You are asked to compute
[tex]\mathbb P(F_2\mid D)[/tex]
[tex]\mathbb P(F_4\mid D)[/tex]
[tex]\mathbb P(D^C)[/tex]
From the definition of conditional probabilities, the first two will require that you first find [tex]\mathbb P(D)[/tex]. Once you have this, part (c) is trivial.
I'll demonstrate the computation for part (a). Part (b) is nearly identical.
(a)
[tex]\mathbb P(F_2\mid D)=\dfrac{\mathbb P(F_2\cap D)}{\mathbb P(D)}[/tex]
Presumably, the facility responsible for producing a given HD is independent of whether the HD is defective or not, so [tex]\mathbb P(F_2\cap D)=\mathbb P(F_2)\mathbb P(D)=0.20\times0.015[/tex].
Use the law of total probability to determine the value of the denominator:
[tex]\mathbb P(D)=\mathbb P(D\mid F_1)+\mathbb P(D\mid F_2)+\mathbb P(D\mid F_3)+\mathbb P(D\mid F_4)[/tex]
We know each of the component probabilities because they are given explicitly: 0.015, 0.02, 0.01, and 0.03, respectively. So
[tex]\mathbb P(D)=0.015+0.02+0.01+0.03=0.075[/tex]
and thus
[tex]\mathbb P(F_2\mid D)=\dfrac{0.2\times0.015}{0.075}=0.04[/tex]
(b) Similarly,
[tex]\mathbb P(F_4\mid D)=\dfrac{0.4\times0.03}{0.075}=0.16[/tex]
(c)
[tex]\mathbb P(D^C)=1-\mathbb P(D)=0.925[/tex]