NCERT Class XII Mathematics Chapter - - Solutions
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Question : 10
Total: 101
A black and a red dice are rolled.
(a) Find the conditional probability of obtaining a sum greater than 9, given that the black die resulted in a 5.
(b) Find the conditional probability of obtaining the sum 8, given that the red die resulted in a number less than 4.
(a) Find the conditional probability of obtaining a sum greater than 9, given that the black die resulted in a 5.
(b) Find the conditional probability of obtaining the sum 8, given that the red die resulted in a number less than 4.
Solution:
Let x denote the outcome on black die and y denote the outcome on red die, then sample space is
S = {(x, y) : x, y ∈ (1, 2, 3, 4, 5, 6)}, which contain 6 × 6 = 36 equally likely simple events.
(a) E : ‘sum greater than 9’ and F : ‘black die resultedin a 5’,
i.e., E = {(6, 4), (4, 6), (5, 5), (5, 6), (6, 5), (6, 6)}
and F = {(5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6)}
⇒ E ∩ F = {(5, 5), (5, 6)}
P(E) =
, P(F) =
, P(E∩F) =
Required probability= P ( E | F ) =
=
=
=
(b) E : ‘a total of 8’ and F : ‘red die resulted in a number less than 4’
i.e., E = {(2, 6), (3, 5), (4, 4), (5, 3), (6, 2)}
and F = {(x, y) : x ∈ {1, 2, 3, 4, 5, 6}, y ∈ {1, 2, 3}}
i.e., F = {(1, 1), (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (3, 3), (4, 1), (4, 2), (4, 3), (5, 1), (5, 2), (5, 3), (6, 1), (6, 2), (6, 3)}
Hence, E ∩ F = {(5, 3), (6, 2)}, P(E) =
, P(F) =
, P(E∩F) =
∴ Required probability= P ( E | F ) =
=
=
=
S = {(x, y) : x, y ∈ (1, 2, 3, 4, 5, 6)}, which contain 6 × 6 = 36 equally likely simple events.
(a) E : ‘sum greater than 9’ and F : ‘black die resultedin a 5’,
i.e., E = {(6, 4), (4, 6), (5, 5), (5, 6), (6, 5), (6, 6)}
and F = {(5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6)}
⇒ E ∩ F = {(5, 5), (5, 6)}
P(E) =
Required probability
(b) E : ‘a total of 8’ and F : ‘red die resulted in a number less than 4’
i.e., E = {(2, 6), (3, 5), (4, 4), (5, 3), (6, 2)}
and F = {(x, y) : x ∈ {1, 2, 3, 4, 5, 6}, y ∈ {1, 2, 3}}
i.e., F = {(1, 1), (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (3, 3), (4, 1), (4, 2), (4, 3), (5, 1), (5, 2), (5, 3), (6, 1), (6, 2), (6, 3)}
Hence, E ∩ F = {(5, 3), (6, 2)}, P(E) =
∴ Required probability
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