The accompanying table shows the probability distribution for x, the number that shows up when a loaded die is rolled. Find the mean and standard deviation.
x P(x)
1 0.14
2 ?
3 0.12
4 0.14
5 0.13
6 0.31
To calculate mean and standard deviation we first need to calculate the probability corresponding to 2
Sum of P(x) should be 1
Here, the sum is 0.84
P(x=2) = 1 - 0.84
P(x=2) = 0.16
X | P(X) | X*P(X) | X^2*P(X) |
1 | 0.14 | 0.14 | 0.14 |
2 | 0.16 | 0.32 | 0.64 |
3 | 0.12 | 0.36 | 1.08 |
4 | 0.14 | 0.56 | 2.24 |
5 | 0.13 | 0.65 | 3.25 |
6 | 0.31 | 1.86 | 11.16 |
Total | 1 | 3.89 | 18.51 |
Mean = sum(X*P(X))
Mean = 3.89
Variance = sum(X^2*P(X)) - sum(X*P(X))^2
Variance = 18.51 - 3.89^2
Variance = 18.51 - 15.1321
Variance = 3.3779
Standard deviation = sqrt(Variance)
Standard deviation = sqrt(3.3779)
Standard deviation = 1.8379
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