We have two coins whose heads are marked 2 and tails marked 1. One is a fair coin and the other is a biased coin whose probabilities of 'Head' are 1/2 and 1/4 respectively.Suppose we toss the two coins simultaneously. Let S and P be the sum and product of all the outcome numbers on the coins, respectively. 1. Compute the mean and variance of S. Calculate up to 3 decimal places (round the number at 4th place) if necessary. 2. Compute the mean of P
Let X1 shows the outcome of fair coin and X2 shows the outcome of biased coin.
P(X1=2) = 1/2 = 0.5, P(X1=1) = 1/2 =0.5
P(X2=2) = 1/4 = 0.25, P(X2=1) = 1 - (1/4) = 3/4 =0.75
Since both coins are independent so
P(X1=x1 and X2=x2) = P(X1=x1)P(X2=x2)
1:
Following table shows the calculations for S and corresponding probabilities:
X1 | X2 | P(X1=x1) | P(X2=x2) | S=X1+X2 | P(S=s)=P(X1=x1)P(X2=x2) |
2 | 2 | 0.5 | 0.25 | 4 | 0.125 |
2 | 1 | 0.5 | 0.75 | 3 | 0.375 |
1 | 2 | 0.5 | 0.25 | 3 | 0.125 |
1 | 1 | 0.5 | 0.75 | 2 | 0.375 |
Total | 1 |
Now we need to sum the probabilites of S for common values of S. Following table show the pdf of S and calculations for mean and variance:
S | P(S=s) | s*P(S=s) | s^2*P(S=s) |
4 | 0.125 | 0.5 | 2 |
3 | 0.5 | 1.5 | 4.5 |
2 | 0.375 | 0.75 | 1.5 |
Total | 1 | 2.75 | 8 |
The mean of S is:
The variance of S is:
2:
Following table shows the calculations for P and corresponding probabilities:
X1 | X2 | P(X1=x1) | P(X2=x2) | P=X1*X2 | P(P=p)=P(X1=x1)P(X2=x2) |
2 | 2 | 0.5 | 0.25 | 4 | 0.125 |
2 | 1 | 0.5 | 0.75 | 2 | 0.375 |
1 | 2 | 0.5 | 0.25 | 2 | 0.125 |
1 | 1 | 0.5 | 0.75 | 1 | 0.375 |
Total | 1 |
Now we need to sum the probabilites of P for common values of P. Following table show the pdf of P and calculations for mean and variance:
P | P(P=p) | p*P(P=p) | p^2*P(P=p) |
4 | 0.125 | 0.5 | 2 |
2 | 0.5 | 1 | 2 |
1 | 0.375 | 0.375 | 0.375 |
Total | 1 | 1.875 | 4.375 |
The mean of S is:
The variance of P is:
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