jee-main 2019 Q90

jee-main · India · session1_09jan_shift2 Probability Definitions Conditional Probability and Bayes' Theorem

An urn contains 5 red and 2 green balls. A ball is drawn at random from the urn. If the drawn ball is green, then a red ball is added to the urn and if the drawn ball is red, then a green ball is added to the urn; the original ball is not returned to the urn. Now, a second ball is drawn at random from it. The probability that the second ball is red, is:
(1) $\frac{21}{49}$
(2) $\frac{26}{49}$
(3) $\frac{32}{49}$
(4) $\frac{27}{49}$

An urn contains 5 red and 2 green balls. A ball is drawn at random from the urn. If the drawn ball is green, then a red ball is added to the urn and if the drawn ball is red, then a green ball is added to the urn; the original ball is not returned to the urn. Now, a second ball is drawn at random from it. The probability that the second ball is red, is:\\
(1) $\frac{21}{49}$\\
(2) $\frac{26}{49}$\\
(3) $\frac{32}{49}$\\
(4) $\frac{27}{49}$

Paper Questions

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