A company produces batteries. On Average, 85% of all batteries are produced are good.Each battery is tested before being dispacted, and the inspector correctly classifies the battery 90% of the time.
A. What percentage of the batteries will "classified as good"?
B.What is the probability that a battery is defective given that it was classified as good?​

A company produces batteries On Average 85 of all batteries are produced are goodEach battery is tested before being dispacted and the inspector correctly class class=

Respuesta :

Answer:

a) 78% of the batteries will be classified as good.

b) 1.92% probability that a battery is defective given that it was classified as good

Step-by-step explanation:

For question b, the conditional probability formula will be used.

Conditional probability formula:

[tex]P(B|A) = \frac{P(A \cap B)}{P(A)}[/tex]

In which

P(B|A) is the probability of event B happening, given that A happened.

[tex]P(A \cap B)[/tex] is the probability of both A and B happening.

P(A) is the probability of A happening.

A. What percentage of the batteries will "classified as good"?

85% of the batteries are good. The inspector correctly classifies the battery 90% of the time, which means that of those 90% will be classified as good.

100-85 = 15% of the batteries are not good. Of those, 100-90 = 10% will be classified as good. Then

0.85*0.9 + 0.15*0.1 = 0.78

78% of the batteries will be classified as good.

B.What is the probability that a battery is defective given that it was classified as good?​

Event A: classified as good.

Event B: Defective

From A, P(A) = 0.78

Intersection:

100-85 = 15% of the batteries are not good. Of those, 100-90 = 10% will be classified as good.

This means that [tex]P(A \cap B) = 0.15*0.1 = 0.015[/tex]

Then

[tex]P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.015}{0.78} = 0.0192[/tex]

1.92% probability that a battery is defective given that it was classified as good