A calculator manufacturer checks for defective products by testing 3 calculators out of every lot of 12. If a defective calculator is found the lot is rejected.
a) Suppose 2 calculators in a lot are defective. Outline two ways of calculating the probability that the lot will be rejected. Calculate this probability
Do I use the probability distribution here? This question is a hypergeometric distribution
b) The quantity control department wants to have at least 30% chance of reject lots that contains only one defective calculator. Is testing 3 calculators in a lot of 12 sufficient? If not how would you suggest they alter their quality control techniques to achieve this standard? Support your answer with mathematical calculations
a = 2 b = 10 n = 12 r = 3
nohup command
$ nohup sleep 400 & <== command
[1] 7026
$ Sending output to nohup.out
ctrl + d
$ There are running jobs.
ctrl + d
$ ps -ef| grep user6
user6 7026 1 0 15:52:03 ? 0:00 sleep 400 <== Running!!
user6 7049 7029 14 15:53:00 pts/tg 0:00 ps -ef
user6 6769 6768 0 14:12:12 pts/tc 0:00 -sh
user6 7050 7029 3 15:53:00 pts/tg 0:00 grep user6
user6 7029 7028 0 15:52:38 pts/tg 0:00 -sh
$
[1] 7026
$ Sending output to nohup.out
ctrl + d
$ There are running jobs.
ctrl + d
$ ps -ef| grep user6
user6 7026 1 0 15:52:03 ? 0:00 sleep 400 <== Running!!
user6 7049 7029 14 15:53:00 pts/tg 0:00 ps -ef
user6 6769 6768 0 14:12:12 pts/tc 0:00 -sh
user6 7050 7029 3 15:53:00 pts/tg 0:00 grep user6
user6 7029 7028 0 15:52:38 pts/tg 0:00 -sh
$
Oh.... Proposals.
Good.
I have received many proposal from the most famous global companies.
...
But, i have no money for airplane tickets. XD
I have received many proposal from the most famous global companies.
...
But, i have no money for airplane tickets. XD
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