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Question: There are two lots of identical articles with different amounts of standard and defective articles. ...

There are two lots of identical articles with different amounts of standard and defective articles. There are NN articles in the first lot, nn of which are defective and MM articles in the second lot, mm of which are defective. KK articles are selected from the first lot and LL articles from the second and a new lot of results. Find the probability that an article selected at random from the new lot is defective.
a) KnM+LmNMN(K+L)\dfrac{\text{KnM+LmN}}{MN(K+L)}
b) KnM+MmNMN(K+M)\dfrac{\text{KnM+MmN}}{MN(K+M)}
c) LnM+LmNMN(K+M)\dfrac{\text{LnM+LmN}}{MN(K+M)}
d) 1-(KnM+LmNMN(K+L))\text{1-}\left( \dfrac{\text{KnM+LmN}}{MN(K+L)} \right)

Explanation

Solution

Use the concept of basic definition of probability and the rule of AND and OR between the events.
P(Event)=Favourable  casesTotal  casesP(Event)=\dfrac{\rm{Favourable \space cases}}{\rm{Total \space cases}}
P(A or B) = P(A) + P(B)P\left( A\text{ }or\text{ }B \right)\text{ }=\text{ }P\left( A \right)\text{ }+\text{ }P\left( B \right)
P(A and B) = P(A) × P(B)P\left( A\text{ }and\text{ }B \right)\text{ }=\text{ }P\left( A \right)\text{ }\times \text{ }P\left( B \right)
We need to find the probability of an article selected at random from the new lot being defective.

Complete step by step answer:
Given: There are two lots of identical articles with different amounts of standard and defective articles.
NN article in the first lot, nn of which are defective
MM articles in the second lot, mm of which are defective.
KK articles are selected from the first lot and LL articles from the second and a new lot of results.

P(E1)P({{E}_{1}}): The selected article is from 1st{{1}^{st}} lot =Number of articles selected from the first lotTotal articles in the new lot formed=\dfrac{\rm{Number\text{ }of\text{ }articles\text{ }selected\text{ }from\text{ }the\text{ }first\text{ } lot}}{\rm{Total\text{ }article\operatorname{s}\text{ }in\text{ }the\text{ }new\text{ } lot\text{ }formed}} =KK+L=\dfrac{K}{K+L}

P(E2)P({{E}_{2}}) : The selected article is from 2nd{{2}^{nd}} lot =Number of articles selected from the second lotTotal articles in the new lot formed=\dfrac{\rm{Number\text{ }of\text{ }articles\text{ }selected\text{ }from\text{ }the\text{ }\sec ond\text{ } lot}}{\rm{Total\text{ }article\operatorname{s}\text{ }in\text{ }the\text{ }new\text{ } lot\text{ }formed}} =LK+L=\dfrac{L}{K+L}
Required Probability:=(Particle selected at random from the new lot being defective) =(Particle selected from the first lot being defective) or (Particle selected from the second lot being defective) \begin{aligned} & ={\rm(Particle\text{ }selected\text{ }at\text{ }random\text{ }from\text{ }the\text{ }new\text{ } lot\text{ }being\text{ }defective)} \\\ & ={\rm(Particle\text{ }selected\text{ }from\text{ }the\text{ }first\text{ } lot\text{ }being\text{ }defective)\text{ }} or \text{ } {\rm(Particle\text{ }selected\text{ }from\text{ }the\text{ }\sec ond\text{ } lot\text{ }being\text{ }defective)} \\\ \end{aligned}
=P(selected article1stlot) andP(defective article1stlot)+P(selected article2ndlot) andP(defective article2ndlot) =P(selected article1stlot)×P(defective article1stlot)+P(selected article2ndlot)×P(defective article2ndlot) =(KK+L)×nN+(LK+L)×mM =1K+L(KnN+LmM) =LmN+KnMNM(K+L) \begin{aligned} & =\operatorname{\rm{P}(selected\text{ }articl{{e}_{{{1}^{st}}}} lot)\text{ }} {\rm and} \operatorname{\rm{P}(defective\text{ }articl{{e}_{{{1}^{st}}}} lot)}+\operatorname{\rm{P}(selected\text{ }articl{{e}_{{{2}^{nd}}}} lot)\text{ }} {\rm and}\operatorname{\rm{P}(defective\text{ }articl{{e}_{{{2}^{nd}}}} lot)} \\\ & =\operatorname{\rm{P}(selected\text{ }articl{{e}_{{{1}^{st}}}} lot)}\times \operatorname{\rm{P}(defective\text{ }articl{{e}_{{{1}^{st}}}} lot)}+\operatorname{\rm{P}(selected\text{ }articl{{e}_{{{2}^{nd}}}} lot)}\times \operatorname{\rm{P}(defective\text{ }articl{{e}_{{{2}^{nd}}}} lot)} \\\ & =\left( \dfrac{K}{K+L} \right)\times \dfrac{n}{N}+\left( \dfrac{L}{K+L} \right)\times \dfrac{m}{M} \\\ & =\dfrac{1}{K+L}\left( \dfrac{Kn}{N}+\dfrac{Lm}{M} \right) \\\ & =\dfrac{LmN+KnM}{NM(K+L)} \\\ \end{aligned}

Hence the correct answer is Option A.

Note: In such type of questions which involves probability knowing the definition of probability combined with OR and AND rule is needed. Accordingly follow the steps to find the required answer.