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Mathematics 10 Online
OpenStudy (anonymous):

In a batch of 8,000 clock radios 3% are defective. A sample of 8 clock radios is randomly selected without replacement from the 8,000 and tested. The entire batch will be rejected if at least one of those tested is defective. What is the probability that the entire batch will be rejected?

OpenStudy (anonymous):

???

OpenStudy (helder_edwin):

give me a second checking my books

OpenStudy (anonymous):

?

OpenStudy (helder_edwin):

i think it is Bayes theorem

OpenStudy (helder_edwin):

or perhaps a binomial distribution

OpenStudy (helder_edwin):

i am not sure but i think it is: p=3% q=97% \[ \large \binom{8}{1}p^1q^{8-1} \]

OpenStudy (helder_edwin):

does it make sense with what u might be doing in your course?

OpenStudy (anonymous):

bayes theory would be more probable but i think it is conditional property

OpenStudy (helder_edwin):

if u compute what i wrote u get 19.39% of probability of rejecting the batch

OpenStudy (anonymous):

probability cannot equal more than 1

OpenStudy (helder_edwin):

yes 19.39%=0.1939

OpenStudy (anonymous):

not in my solution set

OpenStudy (helder_edwin):

then try bayes

OpenStudy (helder_edwin):

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