Variance Calculator Probability helps to determine the variance of random variable x of discrete probability distribution & probability density function(PDF). Just enter the required input values in the given fields then click on the calculate button to get the output with detailed steps in no time.
Variance Calculator Probability: Finding the mean and variance of the probability distribution is very crucial for solving problems in probability theory. If you are facing difficulties to calculate the variance of the discrete and absolutely continuous probability distribution then make use of this handy online tool ie., variance calculator probability. This free online variance of random variable calculator easily computes the variance and standard deviation of the random variable at a faster pace.
For more information like define variance, variance probability distribution formulas, steps to find the probability variance & SD with solved examples, take a look at this Variance Calculator Probability guide.
In probability theory, the expectation of the squared deviation of a random variable from its population means or sample mean is called variance. Also, the second central moment of a distribution, the square of SD, and the covariance of the random variable with itself are known as Variance in probability. It is denoted by σ², s², Var(X), or V(X).
The variance of a random variable X is defined by
var(X) = E [ (X−μ)² ], where μ = E(X).
For a discrete random variable X, the variance of X is acquired as follows:
var(X) = ∑(x−μ)² pX(x)
For, Absolutely continuous random variable, the variance formula of the probability density function is defined as
For a population, the variance is computed as
σ² = ( Σ (x-μ)² ) / N or σ² = ( (Σ x²) / N ) - μ².
The variance of joint probability formula for the random variables X and Y are given as
Var(X) = ∑ x^2 PX(x)−(E(X))^2
Var(Y) = ∑ y^2 PY(y)−(E(Y))^2
In order to calculate the variance of a discrete probability distribution, all you need to do is follow the below simple steps and find the results manually with ease.
Consider the rolling of a fair six-sided die, with X the number on the uppermost face. We know that the px of X is 16, x=1,2,3,4,5,6, and that mean is 3.5. What is the variance of random variable X?
px(X) = 16, μX = 3.5
To find the variance of random vaiable (X) of discrete probability function, use the formula of var(X) i.e.,
var(X) = E [(X−μX)^2]
= 35/12 ≈ 2.9167.
Therefore, the variance of probability distribution of X is approx 2.9167.
The standard deviation probability distribution of X is σX = √35/12 ≈ 1.7078.
1. How do you find the variance of joint probability?
2. What is the formula for the variance and standard deviation of a discrete probability distribution?
The formula for the variance of a discrete probability distribution is σx^2 = Var (X) = ∑i (xi − μ)^2 p(xi) = E(X − μ)^2 and standard deviation (σx) of a discrete probability distribution is Square root of Var(X).
3. What is the mean and variance formula in probability?
The mean formula in probability is μ = n *p and the variance of the probability distribution formula is Var(X) = E(X^2) − [E(X)]^2.
4. Where can I discover the free online & handy variance & standard deviation probability calculator?
You can discover the handy & free online variance calculator probability on probabilitycalculator.guru a reliable & trustworthy web portal that provides concept-wise probability calculators.