Respuesta :
Answer:
a) 0.00019923%
b) 47.28%
Step-by-step explanation:
a) To find the probability of all sockets in the sample being defective, we can do the following:
The first socket will be in a group where 5 of the 38 sockets are defective, so the probability is 5/38
The second socket will be in a group where 4 of the 37 sockets are defective, as the first one picked is already defective, so the probability is 4/37
Expanding this, we have that the probability of having all 5 sockets defective is: (5/38)*(4/37)*(3/36)*(2/35)*(1/34) = 0.0000019923 = 0.00019923%
b) Following the same logic of (a), the first socket have a chance of 33/38 of not being defective, as we will pick it from a group where 33 of the 38 sockets are not defective. The second socket will have a chance of 32/37, and so on.
The probability will be (33/38)*(32/37)*(31/36)*(30/35)*(29/34) = 0.4728 = 47.28%
Using the hypergeometric distribution, it is found that there is a
a) 0.000002 = 0.0002% probability that all in the sample are defective.
b) 0.4728 = 47.28% probability that none in the sample are defective.
The sprockets are chosen from the sample without replacement, which means that the hypergeometric distribution is used to solve this question.
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:
- Shipment of 38 sprockets, hence [tex]N = 38[/tex].
- 5 are defective, hence [tex]k = 5[/tex].
- Sample of 5, hence [tex]n = 5[/tex].
Item a:
This probability is P(X = 5), hence:
[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 = 5) = h(5,38,5,5) = \frac{C_{5,5}C_{33,0}}{C_{38,5}} = 0.000002[/tex]
0.000002 = 0.0002% probability that all in the sample are defective.
Item b:
This probability is P(X = 0), hence:
[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(0,38,5,5) = \frac{C_{5,0}C_{33,5}}{C_{38,5}} = 0.4728[/tex]
0.4728 = 47.28% probability that none in the sample are defective.
A similar problem is given at https://brainly.com/question/24826394