| x | 0 | 1 | 2 | 3 |
| P(X = x) | 1/8 | 3/8 | 3/8 | 1/8 |
Calculate the expectation and variance of X of the following distribution:
| x | 0 | 1 | 2 | 3 |
| P(X = x) | 0.1 | 0.2 | 0.5 | 0.2 |
We already know how to calculate E(X) and E(X2).
E(X) = (0 × 0.1) + (1 × 0.2) + (2 × 0.5) + (3 × 0.2) = 1.8
E(X2) = (0 × 0.1) + (1 × 0.2) + (4 × 0.5) + (9 × 0.2) = 4
So:
Var(X) = E(X2) − (E(X))2 = 4 − 1.82 = 0.76
There are a few general results we should remember to help with our calculations...
Var(aX) = a2Var(X)
Var(aX + b) = a2Var(X)
Where a and b are both constants.
This means by knowing just the variance, Var(X), we can calculate other variances quickly.
Example:
If Var(X) = 2.5 then,
Var(2X) = 22 × Var(X) = 4 × 2.5 = 10
Var(4X − 3) = 42 × Var(X) = 16 × 2.5 = 40
Read more at http://www.s-cool.co.uk/a-level/maths/probability-distributions/revise-it/expectation-and-variance#81dm37Ku2li51jmH.99
Read more at http://www.s-cool.co.uk/a-level/maths/probability-distributions/revise-it/expectation-and-variance#81dm37Ku2li51jmH.99
We can work out the expectation as follows...
E(X) = (0 × 1/8) + (1 × 3/8) + (2 × 3/8) + (3 × 1/8) = 1.5
Read more at http://www.s-cool.co.uk/a-level/maths/probability-distributions/revise-it/expectation-and-variance#81dm37Ku2li51jmH.99
Notes available at
http://www.s-cool.co.uk/a-level/maths/probability-distributions/revise-it/expectation-and-variance
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