# Thread: Distribution functions of Discrete Random Variables

1. ## Distribution functions of Discrete Random Variables

Not sure of my understanding, so asking for help
2 part question
If $X$ has a distribution function $F$
a) What is the distribution function of $e^X$
b) What is the distribution function of $\alpha{X}+\beta$, where $\alpha$ and $\beta$ are constants, $\alpha \neq{0}$

Solution attempts
I know that
$F(x)=P[X\leq{x}]$

and $F(a)=\sum_{all x\leq{a}} p(x)$

Therefore, should I say that $F(x)=P[X\leq{e^x}]$ (ditto for part b) and continue from there? But I'm not sure how to continue, so help please

2. ## Re: Distribution functions of Discrete Random Variables

Originally Posted by I-Think
Not sure of my understanding, so asking for help
2 part question
If $X$ has a distribution function $F$
a) What is the distribution function of $e^X$
b) What is the distribution function of $\alpha{X}+\beta$, where $\alpha$ and $\beta$ are constants, $\alpha \neq{0}$

Solution attempts
I know that
$F(x)=P[X\leq{x}]$

and $F(a)=\sum_{all x\leq{a}} p(x)$

Therefore, should I say that $F(x)=P[X\leq{e^x}]$ (ditto for part b) and continue from there? But I'm not sure how to continue, so help please
Put $Y=e^X$

$F_Y(y)=P(Y\le y)=P(\ln(Y)\le \ln(y))=P(X\le \ln(y))=F_X(\ln(y))$

CB

3. ## Re: Distribution functions of Discrete Random Variables

Thanks
So part b should be

Let $Y=\alpha{X}+\beta$

So

$F_Y(y)=P(Y\leq{y})=P(\frac{Y-\beta}{\alpha}\leq{\frac{y-\beta}{\alpha}}=P(X\leq{\frac{y-\beta}{\alpha}})=F_X(\frac{y-\beta}{\alpha})$

Yes.

CB