Understanding of Random Process, Random Variable and Probability Density Function

1. What is random variable and probability density function?
2. What is a random variable and random process?
3. How do you explain probability density function?

What is random variable and probability density function?

In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the ...

What is a random variable and random process?

A random variable is a function X(e) that maps the set of ex- periment outcomes to the set of numbers. • A random process is a rule that maps every outcome e of an experiment to a function X(t, e).

How do you explain probability density function?

Probability density functions are a statistical measure used to gauge the likely outcome of a discrete value (e.g., the price of a stock or ETF). PDFs are plotted on a graph typically resembling a bell curve, with the probability of the outcomes lying below the curve.