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Functions of Random Variables
Let X be a continuous random variable
Let X be a random variable uniformly distributed on the interval [−2, 2], and Y = (X − 1)^2. Find the density function and the distribution function of X
Let X be a random variable uniformly distributed on the interval [−2, 2], and Y = (X − 1)^2. Find the density function and the distribution function of X |
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I will assume that the $X$ at the end is a typo for $Y$. Let us find the cumulative distribution function $F_Y(y)$ of $y$. Then we can differentiate (not done) to find the density function $f_Y(y)$ of $Y$. We have $$F_Y(y)=P(Y\le y)=P((X-1)^2\le y).$$ If $y<0$, this probability is $0$. So $F_Y(y)=0$ if $y<0$. From here on, assume that $y\ge 0$. For $y\ge 0$, we have $$P((X-1)^2\le y)=P(-\sqrt{y}\le X-1\le \sqrt{y})=P(1-\sqrt{y}\le X\le 1+\sqrt{y}). \tag{$\ast$}$$ Now the analysis breaks down into three cases. If $y> 9$, the interval in $(\ast)$ fully covers the interval $[-2,2]$, so $F_Y(y)=1$. Now let $y$ range from $1$ to $9$. For $y$ in this range, $1+\sqrt{y} \ge 2$. So in this range, $P(1-\sqrt{y}\le X\le 1+\sqrt{y})$ is the probability that $X$ ranges from $1-\sqrt{y}$ to $2$. (Remember, the density of $X$ is $0$ beyond $2$.) Thus for $y$ in this range, $F_Y(y)=(2-(1-\sqrt{y}))/4$. Finally, look at $0 \le y <1$. I leave to you the computation of $F_Y(y)$ for $y$ in this interval. |
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