Let Xi, i=1, ,10, be independent random variables

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TomJerry
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Let Xi, i=1,...,10, be independent random variables, each uniformly distributed over (0, 1). Calculate an approximation to P([tex]\sum[/tex]Xi > 6)
Solution

E(x) = 1/2
and
Var(X) = 1/12

[How should is calulate the approxmiate ]
 
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Remember what the central limit theorem says about approximating sampling distributions of means if i.i.d random variables: you can also use it to obtain the sampling distribution of the sum of i.i.d random variables.
 
Interestingly, Berry-Esseen gives [tex]p\approx 0.137 \pm 0.2[/tex] whereas the true error is closer to 0.002. Do any other theorems give more accurate error estimates?