IDNLearn.com is the perfect place to get detailed and accurate answers to your questions. Join our interactive community and access reliable, detailed answers from experienced professionals across a variety of topics.

9. A computer chip manufacturer knows that 72% of the chips produced are defective.
Suppose 3000 chips are produced every hour, what is the probability that exactly 800
chips are acceptable? Compare the results of using the binomial distributions with
those found using the normal approximation.


Sagot :

The probability that exactly 800 chips are acceptable is less than 0.000001

How to determine the probability?

The given parameters are:

  • Sample, n = 3000
  • Percentage acceptable, p = 72%
  • Acceptable chips, x = 800

The binomial probability is represented as:

[tex]P(x) = ^nC_x * p^x * (1- p)^{n - x}[/tex]

So, we have:

[tex]P(300) = ^{3000}C_{800} * (72\%)^{800} * (1- 72\%)^{3000 - 800}[/tex]

The data values are large.

So, we use a statistical calculator to evaluate the expression

Using the calculator, we have:

P(300) < 0.000001

Hence, the probability that exactly 800 chips are acceptable is very small i.e. less than 0.000001

Read more about probability at:

https://brainly.com/question/25870256

#SPJ1

We appreciate your contributions to this forum. Don't forget to check back for the latest answers. Keep asking, answering, and sharing useful information. Find clear and concise answers at IDNLearn.com. Thanks for stopping by, and come back for more dependable solutions.