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Joint Entrance Examination
Mathematics
Probability
Question 297
Question 297 of 417
Easy
MCQ
A random variable
X
X
X
has Poisson distribution with mean
2
2
2
. Then \[P\left( {X > 1.5} \right)\] equals :
A
\[{2 \over {{e^2}}}\]
B
\[0\]
C
\[1 - {3 \over {{e^2}}}\]
D
\[{3 \over {{e^2}}}\]
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Official solution
In a position distribution, \[P(X = r) = {{{e^{ - \lambda }}{\lambda ^r}} \over {r!}}\] (\[\lambda\] = mean). Now,
P
(
X
=
r
>
1.5
)
=
P
(
2
)
+
P
(
3
)
+
P(X = r > 1.5) = P(2) + P(3) +
P
(
X
=
r
>
1.5
)
=
P
(
2
)
+
P
(
3
)
+
..... \[\infty\] \[ = 1 - \{ P(0) + P(1)\} \] \[ = 1 - \left( {{e^{ - 2}} + {{{e^{ - 2}} \times 2} \over 1}} \right) = 1 - {3 \over {{e^2}}}\]
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