Let X be the number of defective microscopes. Because the events (finding that certain microscope is defecrive or not) have equal probability p=1.7⋅10−3 that it will be defecrive, we can conclude that X follows the binomial distribution X∼B(n,p) (where n=50) with probability mass function
pX(k)=Cnkpk(1−p)n−k where Cnk=k!(n−k)!n! is the binomial coefficient.
Under "one of the first" they mean "exactly one", we need to find the probability P(X=1), thus
P(X=1)=pX(1)=1!49!50!⋅1.7⋅10−3⋅(1−1.7⋅10−3)49≈0.0782008If they mean "one or more", we need to find the probability P(X⩾1) that can be rewritten as
P(X⩾1)=1−P(X<1)=1−P(X=0) and
P(X=0)=pX(0)=0!50!50!⋅(1.7⋅10−3)0⋅(1−1.7⋅10−3)50≈0.918446 thus
P(X⩾1)≈1−0.918446≈0.081554 Answer: P(X=1)≈0.0782008.
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