Let E1=the item is manufactured by the operator A, E2=the item is manufactured by the operator B, E3=the term is manufactured by the operator C and A=the item is defective
Now P(E1)=\(\frac{50}{100}\),P(E2)=\(\frac{30}{100}\),P(E3)=\(\frac{20}{100}\)
Now P(A|E1)=P(item drawn is manufactured by operator A)=\(\frac{1}{100}\)
Similarly,P(A|E2)=\(\frac{5}{100}\) and P(A|E3)=\(\frac{7}{100}\)
Now required probability =probability that the item is manufactured by operator A given that the item drawn is defective
\(P(E_1|A)=\frac{P(E_1)P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)+P(E_3)P(A|E_3)}\)
=\(\frac{50}{100}\)\(×\frac{1}{100}.\frac{50}{100}\)×\(\frac{1}{100}\)+\(\frac{30}{100}\)×\(\frac{5}{100}\)+\(\frac{20}{100}\)×\(\frac{7}{100}\)=\(\frac{50}{50}\)+150+140=\(\frac{5}{34}\)
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
(i) Find the probability that it was defective.
State and elaborate, whether the following statements are true/false, with valid arguments
Under the Golden Revolution there was tremendous growth in horticulture, making India the world leader in this field.
Bayes’ Theorem is a part of the conditional probability that helps in finding the probability of an event, based on previous knowledge of conditions that might be related to that event.
Mathematically, Bayes’ Theorem is stated as:-
\(P(A|B)=\frac{P(B|A)P(A)}{P(B)}\)
where,
This formula confines well as long as there are only two events. However, Bayes’ Theorem is not confined to two events. Hence, for more events.