Mean & Variance of a CRV (DP IB Analysis & Approaches (AA)): Revision Note
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Mean & Variance of a CRV
What are the mean and variance of a continuous random variable?
E(X) is the expected value, or mean, of the continuous random variable X
E(X) can also be denoted by μ
Var(X) is the variance of the continuous random variable X
Var(X) can also be denoted by σ2
The standard deviation, σ, is the square root of the variance
How do I find the mean and variance of a continuous random variable?
The mean is given by
This is given in the formula booklet
If the graph of y = f(x) has axis of symmetry, x = a, then E(X) = a
The variance is given by
whereThis is given in the formula booklet
Another version of the variance is given in the formula booklet
but the first version above is usually more practical for solving problems
Be careful about confusing E(X2) and [E(X)]2
"mean of the squares"
"square of the mean"
How do I find the mean and variance of a linear transformation of a continuous random variable?
For the continuous random variable, X, with mean E(X) and variance Var(X) then
and
Examiner Tips and Tricks
Using your GDC to draw the graph of y = f(x) can highlight any symmetrical properties which reduce the work involved in finding the mean and variance
Worked Example
A continuous random variable, X, is modelled by the probability distribution function, f(x), such that
a) Find the mean of X.

b) Find standard deviation of X.

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