※ 引述《dohard (最近很忙 請來電^^)》之銘言：
: 2.State the central limit theorem as precise as possible.
Let X1,X2,.... be iid with finite mean μ and variance σ^2.
n
(Σ Xi) - nμ
~ i=1
Let Y = ---------------
(nσ^2)^1/2
~
Then lim P{ Y ≦ y } = Φ(y).
n→∞
: 3.Suppose that children are born at Poisson rate of 10 per day in a certain
: hospital. What is the probability that a) at least two babies are born
: during the next hours; b)no babies are born during the next two days?
-α α^x
X~POI(α) --> P(x) = e ------
x!
a) α= 10 babies/day = 10/24 babies/hour
P[X≧2] = 1-P(0)-P(1) = ....
b) α= 10 babies/day = 20 babies/two days
P[X=0] = ....
: 麻煩大家了，因為我沒學過機率，但是我想在最近學會好教朋友，
: 請問有建議買或借哪本書？或是板友可以在線上教學或面教，感恩。
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