Question #97234
The probability that a microscope is defective is .17%. Find the probability that one of the first 50 microscopes is defective
1
Expert's answer
2019-10-24T09:12:27-0400

Let XX be the number of defective microscopes. Because the events (finding that certain microscope is defecrive or not) have equal probability p=1.7103p = 1.7 \cdot {10^{ - 3}} that it will be defecrive, we can conclude that XX follows the binomial distribution XB(n,p)X \sim B(n,p) (where n=50n = 50) with probability mass function


pX(k)=Cnkpk(1p)nk{p_X}(k) = C_n^k{p^k}{(1 - p)^{n - k}}

where Cnk=n!k!(nk)!C_n^k = \frac{{n!}}{{k!(n - k)!}} is the binomial coefficient.

Under "one of the first" they mean "exactly one", we need to find the probability P(X=1)P(X = 1), thus

P(X=1)=pX(1)=50!1!49!1.7103(11.7103)490.0782008P(X = 1) = {p_X}(1) = \frac{{50!}}{{1!49!}} \cdot 1.7 \cdot {10^{ - 3}} \cdot {(1 - 1.7 \cdot {10^{ - 3}})^{49}} \approx 0.0782008

If they mean "one or more", we need to find the probability P(X1)P(X \geqslant 1) that can be rewritten as


P(X1)=1P(X<1)=1P(X=0)P(X \geqslant 1) = 1 - P(X < 1) = 1 - P(X = 0)

and


P(X=0)=pX(0)=50!0!50!(1.7103)0(11.7103)500.918446P(X = 0) = {p_X}(0) = \frac{{50!}}{{0!50!}} \cdot {(1.7 \cdot {10^{ - 3}})^0} \cdot {(1 - 1.7 \cdot {10^{ - 3}})^{50}} \approx 0.918446

thus


P(X1)10.9184460.081554P(X \geqslant 1) \approx 1 - 0.918446 \approx 0.081554

Answer: P(X=1)0.0782008P(X = 1) \approx 0.0782008.





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