SOLUTION: When purchasing bulk orders of​ batteries, a toy manufacturer uses this acceptance sampling​ plan: Randomly select and test 38 batteries and determine whether each is within sp

Algebra ->  Probability-and-statistics -> SOLUTION: When purchasing bulk orders of​ batteries, a toy manufacturer uses this acceptance sampling​ plan: Randomly select and test 38 batteries and determine whether each is within sp      Log On


   



Question 1204105: When purchasing bulk orders of​ batteries, a toy manufacturer uses this acceptance sampling​ plan: Randomly select and test 38 batteries and determine whether each is within specifications. The entire shipment is accepted if at most 3 batteries do not meet specifications. A shipment contains 7000 ​batteries, and ​2% of them do not meet specifications. What is the probability that this whole shipment will be​ accepted? Will almost all such shipments be​ accepted, or will many be​ rejected? The probability that this whole shipment will be accepted is    enter your response here.​(Round to four decimal places as​ needed.)
Found 2 solutions by Theo, ikleyn:
Answer by Theo(13342) About Me  (Show Source):
You can put this solution on YOUR website!
the probability thqt the whole shipment will be accepted is equal to 0.993131178 this is approximately 99.31% when the percent is rounded to 2 decimal places.
that's the probability that less than or equal to 3 batteries in a sample of 38 batteries will be defective.
the probability that more than 3 batteries will be rejected in a random sample of 38 is equal to 100% - 99.31% = .69%.

i considered this a binomial probability problmm.
the calculations were done in excel.

the formula for each probability is p(x) = p^x * q^(n-x) * c(n,x)
for example, the probability that 3 will be rejected is:
p(3) = .02^3 * .98^(38-3) * c(38,3) = 0.03327662.
that's the same number for p(3) in the spreadsheet.
c(n,x) = n! / (x! * (n-x)!).
that becomes c(38,3) = 38! / (3! * (38-3)!) which is equal to 8436.
this is the same number in the spreadsheet for p(3).

here's the spreadsheet with all the calculations.








Answer by ikleyn(52915) About Me  (Show Source):
You can put this solution on YOUR website!
.

I'd like to make some comments after the solution by @Theo.

As @Theo shown in his post, the test accepts almost all shipments  ($99.31%)
and rejects very few shipments  (%0.69).

It means that the test is not adequate and does not perform its functions properly.


                        It is not surprising.


It is obvious that in order for the test works adequately,  it must recognize  2%  of the control size.

If three defective batteries are admitted in the shipment,  it means that the size of the control set
must be about  3%2F0.02 = 150 batteries.

With the control size of  38  batteries,  3 defective batteries make the gap of  3%2F38 = 0.079 = 7.8%,
which is too wide and admits  (passes)  too many defective shipments.


            It is what a person,  who solves this problem,
            should understand after completing the solution.