Suppose that 10 computer chips are randomly selected from a large shipment. If 95% of the computer chips work properly, and each chip works independently of one another, what is the probability that at least 8 of the chips work?

Respuesta :

Answer:

0.9884 = 98.84% probability that at least 8 of the chips work

Step-by-step explanation:

For each chip, there are only two possible outcomes. Either it works, or it does not. The chips work independently of one another. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]

In which [tex]C_{n,x}[/tex] is the number of different combinations of x objects from a set of n elements, given by the following formula.

[tex]C_{n,x} = \frac{n!}{x!(n-x)!}[/tex]

And p is the probability of X happening.

10 computer chips are randomly selected from a large shipment.

This means that [tex]n = 10[/tex]

95% of the computer chips work properly

This means that [tex]p = 0.95[/tex]

What is the probability that at least 8 of the chips work?

This is

[tex]P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10)[/tex]

In which

[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]

[tex]P(X = 8) = C_{10,8}.(0.95)^{8}.(0.05)^{2} = 0.0746[/tex]

[tex]P(X = 9) = C_{10,9}.(0.95)^{9}.(0.05)^{1} = 0.3151[/tex]

[tex]P(X = 10) = C_{10,10}.(0.95)^{10}.(0.05)^{0} = 0.5987[/tex]

Then

[tex]P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10) = 0.0746 + 0.3151 + 0.5987 = 0.9884[/tex]

0.9884 = 98.84% probability that at least 8 of the chips work