answersLogoWhite

0

It might help if you specified why WHAT was important in random variables.

User Avatar

Wiki User

13y ago

What else can I help you with?

Related Questions

How many types of randam variables in Statistics?

In statistics, there are two main types of random variables: discrete random variables and continuous random variables. Discrete random variables take on a countable number of distinct values, such as the outcome of rolling a die. In contrast, continuous random variables can take on an infinite number of values within a given range, such as the height of individuals. Each type has its own probability distribution and methods of analysis.


What has the author Michael O'Flynn written?

Michael O'Flynn has written: 'Probabilities, random variables, and random processes' -- subject(s): Probabilities, Random variables, Signal processing, Stochastic processes


Is Statistically independent random variables are uncorrelated and vice versa?

the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,


What is the difference between a random variable and random process?

A random process is a sequence of random variables defined over a period of time.


Variables with values that are determined by chance are called what?

Variables with values that are determined by chance are called random variables. They can take on different values based on the outcome of a random phenomenon or experiment. Random variables can be classified into two types: discrete, which can take on a finite number of values, and continuous, which can take on an infinite number of values within a given range.


What is the difference between random variable and random variate?

Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.


On the transformation of random variables and random vectors?

first you make sure you have cake then you cook it in stew;0


What is the importance of distribution functions to stochastic processes?

Stochastic processes are families of random variables. Real-valued (i.e., continuous) random variables are often defined by their (cumulative) distribution function.


What has the author Wai Wan Tsang written?

Wai Wan Tsang has written: 'Analysis of the square-the-histogram method for generating discrete random variables' -- subject(s): Random variables


ARE All continuous random variables are normally distributed?

YES.


What is the The sum of two normally distributed random variables?

The sum of two random variables that are normally distributed will be also be normally distributed. Use the link and check out the article. It'll save a cut and paste.


What is the distribution of the sum of squared Poisson random variables?

You must pay for the answer