answersLogoWhite

0


Best Answer

Follow these steps:

  • Find all the values that the random variable (RV) can take, x.
  • For each x, find the probability that the RV takes than value, p(x).
  • Multiply them: x*p(x).
  • Sum these over all possible values of x.

The above sum is the expected value of the RV, X.

User Avatar

Wiki User

9y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: How do you compute expected value from random discreet variable?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

Is the expected value of a discrete random variable equal to the mean of the random variable?

yes?


Limitation of expected value in decision making?

Expected value of a random variable requires that the random variable can be repeated in experiment indefinitely. If the random variable can only be repeated finite times, e.g. once, there is an inadequacy of the expected value principle for a decision maker.


The mean or expected value of the distribution of a discrete random variable is?

30.47


Is the mean of probability distribution is called its expected value?

No. The mean is the expected value of the random variable but you can also have expected values of functions of the random variable. If you define X as the random variable representing the result of a single throw of a fair die, the expected value of X is 3.5, the mean of the probability distribution of X. However, you play a game where you pay someone a certain amount of money for each throw of the die and the other person pays you your "winnings" which depend on the outcome of the throw. The variable, "your winnings", will also have an expected value. As will your opponent's winnings.


Is the gender of college students a discrete random variable a continuous random variable or not a random variable?

It is a discrete random variable.


When random variable is variable?

When it is random it is variable.


How do you compute the probability Y and gt you given a random variable Y has a normal distribution with mean m and variance s2.?

This is supposed to be Y > u


Is the expected value of any random variable just the average of the values?

The expected value is the long-run average value of repetitions of the experiment it represents.


How do you compute probabilities of a standard normal random variable?

You need to determine the area under the curve between the values in question. This is easy to do because there are tables that give the area values.


How do you compute the probability distribution of a function of two Poisson random variables?

we compute it by using their differences


What does the mean have to do with a normal distribution?

Almost all statistical distribution have a mean. It is the expected value of the random variable which is distributed according to that function.


Is the random variable x equals 1 be stated that the random variable is discrete?

If x = 1 then X is not really a random variable but a constant.