a. X1, X2,....,X100 ~ Poi(5).
E(Xi) = 5 and Var(Xi) = 5.
Since, Xi's are i.i.d., thus,
E()
= 100 * 5 = 500 and Var(
)
=
* 5 = 50000
Since, we have sufficiently large number of samples,
We can assume,
~ N(500, 50000)
i.e. Z = (
- 500)/223.6068 ~ N(0,1).
Hence, the required probability = P(
> 550)
= P[(
- 550)/223.6068 > (550 - 500)/223.6068]
= 1 - P(Z < 0.2236) = 1 -
(0.2236) = 1 - 0.5885 = 0.4115. (Ans).
[(.)
is the cdf of N(0,1)].
b. We have, E()
= 5, Var(
)
= 5/100 = 0.05,
s.d.()
= 0.2236
Assuming Normal distribution, Z = (
- 5)/0.2236 ~ N(0,1)
P(
> 5.2) = P[(
- 5)/0.2236 > (5.2 - 5)/0.2236]
= 1 - P(Z < 2.2361) = 1 - 0.9873 = 0.0127. (Ans).
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