In: Statistics and Probability
One hundred random draws with replacement are made from the box [1, 6, 7, 9, 9, 10] (a) Calculate the probability of getting 12 nines. (b) Calculate the probability that the sum is at most 107.
a) Probability of getting a nine in any draw is computed
as:
= Total number of 9s in the lot / Total number of numbers
= 2/6
= 1/3
Therefore the number of 9s that can be obtained from the 100 draws could be modelled here as a binomial distribution given as:
Probability of getting 12 nines is computed using binomial probability function here as:
Therefore 0 is the approx. probability here.
b) The expected value here for any draw is computed as:
E(X) = (1 + 6 + 7 + 9 + 9 + 10)/6 = 42/6 = 7
The second moment is computed as:
E(X2) = (12 + 62 + 72 +
92 + 92 + 102)/6 = 58
Therefore Var(X) = E(X2) - [E(X)]2 = 58 -
72 = 9
Therefore SD(X) = square root of Var(X) = square root of 9 = 3
Therefore the mean sample size of 100 drawn could be modelled here by central limit theorem as:
The probability that the sum is at most 107 is computed here as:
Note that sums of 107 or less could be obtained only in following ways:
Therefore, total probability here is computed as:
= 201*(1/6)100 which is again approximately equal to
0.