Distribution of a linear transformation of a discrete random variable
A discrete model assigns an integer payoff to each outcome
Let \(X\) be the discrete random variable with the following distribution
| \(x\) | \(\Pr(X=x)\) |
|---|---|
| \(-1\) | \(\frac{2}{5}\) |
| \(1\) | \(\frac{1}{5}\) |
| \(4\) | \(\frac{1}{10}\) |
| \(6\) | \(\frac{3}{10}\) |
Define \(Y\) by the rule
\[Y = 2\,X + 1.\]