Calculating Expected Value and Variance of Coin Toss Results

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The discussion focuses on calculating the expected value and variance of the product of heads and tails from three coin tosses, defined as Z = XY, where X is the number of tails and Y is the number of heads. The relationship Y = 3 - X allows for the expression of Z in terms of X, resulting in Z = (3 - X)X. The expected value E(Z) is calculated as 2 multiplied by the probability of getting 1 head and 2 tails, and vice versa, yielding E(Z) = 2 * ⅜ + 2 * ⅜. Additionally, E(Z^2) is computed as 4 multiplied by the same probabilities, confirming the calculations seem accurate. The analysis effectively demonstrates the expected outcomes of the coin toss scenario.
pawlo392
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A coin had tossed three times. Let ##X##- number of tails and ##Y##- number of heads. Find the expected value and variance ##Z=XY##.
My solution:
We know, that ##Y=3-X##, so ##Z=(3-X)X## for ##X=0,1,2,3##.
##Z=2## for ##X=1,2## and ##Z=0## for ##X=3,0##
So, ##E(Z)=E((3-X)X))= 2 \cdot ⅜ +2 \cdot ⅜.##
Because we're interested in events :
1 head and 2 tails, and 1 tail and 2 heads.
And ##E(Z^2)=4 \cdot⅜ +4 \cdot ⅜##. What do You think?
 
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That looks good to me.
 
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