PDF Converting

Why Cant We Directly Find The PDF Of The Transformation Of Random?

Try now

How it works

Upload & Edit
Your PDF Document
Save, Download,
Print, and Share
Sign & Make
It Legally Binding

Why Cant We Directly Find The PDF Of The Transformation Of Random?

Let (\Omega,\mathcal{F},\mathbb{P}) be the probability space of interest. It is given that the random variable X\sim \text{Unif}(0,1). The random variable Y is defined as Y(\omega).=\begin{cases}X(\omega) & \quad\text{ if }00\ge y for all \omega\in\Omega. Thus, \mathbb{P}(Y\le y)=0. Now, let 0

Convert PDF: All You Need to Know

And, if we multiply CDF by the power of 0.2 to obtain its e-value, it turns out that it is exactly the e-value of F(1/2)! This was a great experiment by John to show that if we use the right tools, we can figure out most of the relationships between these weird functions and make a lot of interesting measurements. And I suspect he is right about the value of e: the correct value for e is 1/2. But, to get a better understanding of what we just did and why we did it that way, you might want to read the article here.