If X1, X2, X3 are the number of spots on the up-faces of the three dice, then X = X1 + X2 + X3. Use this fact to find the mean and the standard deviation without finding the distribution of X (Start with the distribution of each of the X1).
Can we assume independence? I am assuming they would roll the dice independently right, and not in some strange way?
yeah
You can then say that the distriution of each of X1, X2 and X3 is a discrete uniform distribution having each probability 1/6 . The expected value of a discrete uniform with minimum value a=1 and maximum value b=6 is (a+b)/2 The variance of that distribution is then ((b-a+1)^2 - 1)/12 (If you do not know these formulas, you might have to prove them..) So then you can say: . you can then use the property of expectation and variance to find these vales for X1+X2+X3.... E(X1+X2+X3) = E(X1)+E(X2)+E(X3) Var(X1+X2+X3) = Var(X1)+Var(X2)+Var(X3) by independence
and since each die is identical, the variance of X1, X2, X3 and expectations of X1, X2 and X3 are the same
so apparently the answer for the mean is 3 (3.5) which is 10.5 and the variance of the sum is 3 (2.917) which is 8.751. Could you please explain where these numbers came from?
So the distribution of a discrete uniform distribution can be written generally as: \[P(X=x) = \frac{1}{b-a+1}\] for x=a, a+1, ..., b Here a = 1, b = 6 , so the pmf reduces to 1/6 for values x = 1, 2, ..., 6 Then you use the formula for expectation for any random variable X: \[E(X) = \sum_{\text{all }x}x*P(X=x)\] Thus, you find \[E(X) = sum_{x=a}^b x*\frac{1}{b-a+1}\] And similary you use the definition of variance \(Var(X) = E(X^2) + [E(X))]^2 \) So you first find \(E(X^2)\) by doing: \[E(X^2) = sum_{x=a}^b x^2*\frac{1}{b-a+1}\ Then you find the variance using the result of E(X) that you found above to compute the variance Var(X) Doing this will give you those formulas I mentioned above
Correction: **Thus, you find \[E(X) = \sum_{x=a}^b x*\frac{1}{b-a+1}\] **So you first find \(E(X^2)\) by doing: \[E(X^2) = \sum_{x=a}^b x^2*\frac{1}{b-a+1}\ sorry about that
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