A toy manufacturer inspects boxes of toys before shipment. Each box contains 7 toys. The inspection procedure consists of randomly selecting three toys from the box. If one or more of the toys are defective, the box is not shipped. Suppose that a given box has two defective toys. What is the probability that it will be shipped?
a) 0.0486
b) 0.2857
c) 0.1429
d) 0.7143
e) 0.3088"

Respuesta :

Answer:

B-) 0.2857

Step-by-step explanation:

So to be shipped all of the toys, toys need to be not faulty. This means that we will think about the undefective ones.

We have :

2 defective toys

5 undefective toys

To be shipped all of the toys must be undefective.

We will have to choose undefective ones from all the toys, 3 times:

Undefective ones      Undefective ones     Undefective ones

--------------------------- . ----------------------------- .  --------------------------

      All the toys                 All the toys                 All the toys

> 5/7 . 4/6 . 3/5

>0.28571428571

So, the answer is B-) 0.2857

I hope it will be understood.

If I have any inaccuracies please let me know.

Have a nice day and never stop questioning!

Using the hypergeometric distribution, it is found that the probability that it will be shipped is:

b) 0.2857

The toys are chosen without replacement, which is the reason why the hypergeometric distribution is used.

Hypergeometric distribution:

[tex]P(X = x) = h(x,N,n,k) = \frac{C_{k,x}C_{N-k,n-x}}{C_{N,n}}[/tex]

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

The parameters are:

  • x is the number of successes.
  • N is the size of the population.
  • n is the size of the sample.
  • k is the total number of desired outcomes.

In this problem:

  • 7 toys, thus [tex]N = 7[/tex].
  • 3 are chosen, thus [tex]n = 3[/tex]
  • 2 are defective, thus [tex]k = 2[/tex].

It will be shipped if none are defective, thus, the probability is P(X = 0).

[tex]P(X = x) = h(x,N,n,k) = \frac{C_{k,x}C_{N-k,n-x}}{C_{N,n}}[/tex]

[tex]P(X = 0) = h(0,7,3,2) = \frac{C_{2,0}C_{5,3}}{C_{7,3}} = 0.2857[/tex]

The probability is:

b) 0.2857

A similar problem is given at https://brainly.com/question/8174838