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Worked Example

Example 6: Linear Combinations and Variance

Transformations

Let X be the discrete variable with the following probability distribution. Calculate (a) E(X), (b) E(X^2), (c) E(4X+3), (d) E(2X^2+X-1), (e) V(X), (f) V(5X+4). \\[0.5em] \begin{array}{c|cccc} x & 1 & 2 & 3 & 4 \\ \hline f(x) & \frac{2}{9} & \frac{3}{9} & \frac{1}{9} & \frac{3}{9} \end{array}

Solution

Step 1 of 6
Step 1

(a) Calculate E(X)

2/9 + 6/9 + 3/9 + 12/9 = 23/9
info

Perfect! Sum x·f(x) for all x values.