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For a discrete probability distribution, you add up x*P(x) over all possible values of x, where P(x) is the probability that the random variable X takes the value x.

For a continuous distribution you need to integrate x*P(x) with respect to x.

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How do you compute expected value from random discreet variable?

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.


How do i find expected value in a martingale system?

The expected value of a Martingale system is the last observed value.


Which expression is used to find the expected value of X in binomial distribution?

If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np


How is the expected value of a normal distribution computed?

If a random variable X is distributed normally with probability distribution function p(x), then the expected value of X is E(X) = integral of x*p(x)dx evaluated over the whole of the real line.


How do you find the deviation?

The deviation is the observed value less the expected value.


What is the formula for expected value under certainty?

The formula for expected value under certainty is simply the value of the certain outcome itself, as there is no variability involved. Mathematically, it can be expressed as ( EV = x ), where ( x ) is the guaranteed outcome. In scenarios involving multiple outcomes with probabilities, the expected value is calculated as ( EV = \sum (p_i \cdot x_i) ), but under certainty, ( p_i ) for the certain outcome is 1, rendering the expected value equal to that outcome.


What is the expected value of x?

The expected value of a random variable ( x ) is a measure of the central tendency and is calculated as the weighted average of all possible values, where each value is weighted by its probability of occurrence. Mathematically, it is expressed as ( E(x) = \sum (x_i \cdot P(x_i)) ) for discrete variables, or as ( E(x) = \int x \cdot f(x) , dx ) for continuous variables, where ( f(x) ) is the probability density function. The expected value provides insight into the long-term average outcome of a random variable in a probability distribution.


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.


Assume that you have a binomial experiment with p 0.5 and a sample size of 100. The expected value of this distribution is?

In a binomial distribution, the expected value (mean) is calculated using the formula ( E(X) = n \times p ), where ( n ) is the sample size and ( p ) is the probability of success. For your experiment, with ( n = 100 ) and ( p = 0.5 ), the expected value is ( E(X) = 100 \times 0.5 = 50 ). Thus, the expected value of this binomial distribution is 50.


Find the value of 2x² when x equals 3?

18


What is expected value of two random variables?

E(X+Y)=E(X)+E(Y)where E(X)=population mean


How do you find supplementary angles to find value of X?

180-x...... hahaahahaaa