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b) \[\large \begin{align} E(X)&= \sum_{x}x\cdot p(x)\\ \, \\ &=0(0.21)+1(0.39)+2(0.18)+\ldots+6(0.01)\end{align}\] c) \[\large Var(X)=E(X^2)-[E(X)]^2\] \[\large \begin{align} E(X^2)&= \sum_{x}x^2\cdot p(x)\\ &=0^2(0.21)+1^2(0.39)+2^2(0.18)+\ldots+6^2(0.01)\end{align}\] And then for \([E(X)]^2\), you just find the result in b), and square it.
For the cdf in a): \[ F(X)=\begin{cases}0 && x<0\\ 0.21 &&0\le x <1 \\ 0.6 &&1\le x <2 \\ 0.78 &&2\le x <3 \\ 0.94 &&3\le x <4 \\ 0.97 &&4\le x <5 \\ 0.99 &&5\le x <6 \\ 1 && x \ge1 \\\end{cases}\] |dw:1400694485551:dw|
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