Roll a fair die 100 times and let T be the sum of the 100 results.
(a) Find a very good approximation for the value of P( T > 315 )
(b). Find P( T = 315 ), approximately.
For each dice throw, we have here:
P(X = 1) = P(X = 2) = P(X = 3) = P(X = 4) = P(X = 5) = P(X = 6) = 1/6
Therefore, E(X) = (1/6)*(1 + 2 + 3 + 4 + 5 + 6) = 3.5
E(X2) = (1/6)*(12 + 22 + 32 + 42 + 52 + 62) = 91/6
Var(X) = E(X2) - [E(X)]2 = (91/6) - 3.52 = 2.9167
Therefore for a sum of 100 rolls, the distribution for the sum T could be given here as:
The probability here is computed as:
P(T > 315 )
Converting this to a standard normal variable, we get:
Getting it from the standard normal tables, we get:
Therefore 0.9798 is the required probability here.
b) The required probability here is:
P( T = 315 )
Applying the continuity correction factor, we get here:
Converting this to a standard normal variable, we get:
Getting this from the standard normal tables, we get here:
Therefore 0.0029 is the required probability here.
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