Examples of 'random variable x' in a sentence
Meaning of "random variable x"
random variable x - This phrase is commonly used in mathematics and statistics to represent a variable whose possible values are outcomes of a random phenomenon
How to use "random variable x" in a sentence
Basic
Advanced
random variable x
The random variable x plus the random variable y.
So this is the distribution of random variable x.
Define the random variable x as the number of correct answers.
The population mean of random variable x.
A random variable X follows a normal log law when its logarithm follows a normal distribution.
So it has some variance right here for random variable x.
The random variable X is number of questions answer correctly.
And the x just means this is for random variable x.
Suppose the random variable X can assume k different values.
The mean or expected value of a random variable X is defined as.
A continuous random variable X can take on a continuum of possible values.
The equation defining the probability density function of a Bates distribution random variable X is.
So suppose we have a random variable x And this.
Consider a random variable X whose probability distribution belongs to a parametric model Pθ parametrized by θ.
The expectation of a continuous random variable X with probability density.
See also
The random variable X is normally distributed.
Suppose you want to sample some random variable X with distribution fx.
Let us assume a partition of an event Ci of a probabilized space E and a real random variable X.
Suppose that the random variable X can assume n different values.
Find the distribution of the random variable X.
It is obtained by transforming a random variable X having a normal distribution into random variable Y eX.
In probability theory and statistics, the moment-generating function of a random variable X is.
The most common variations are where the random variable X is counting different things.
Define a random variable X to be the number of machines that will break down in a day . a.
For a set, the probability of the random variable X being in is defined as.
Let a random variable X have a probability density fx;α.
In the domain of probabilities, the mode of a random variable X is the most likely value.
We say that a random variable x has a binomial distribution, and we write it as.
The probability distribution of a random variable X is given below,.
In other words, random variable X has a normal distribution with a mean of.
The special case σ2 0 is a constant random variable X μ.
Suppose that the continuous random variable X has the probability density functi.
A random variable X has the probability distribution,.
Let us find the PDF of the uniform random variable X discussed in Example 4.
If random variable X { \ displaystyle X } has a distribution which is a mixture of discrete and continuous part.
The common notation for a risk measure associated with a random variable X { \ displaystyle X } is ρ ( X ) { \ displaystyle \ rho X.
For a random variable X { \ displaystyle X } on such a space, the smoothing law states that.
It generates a random variable x between 0 and 1.
We have random variable X and the probability of 0.2.
So we could define a random variable x as equal to -- well, actually, let me.
Thus, if the random variable X is log-normally distributed, then Y ln ( X ) has a normal distribution.
We say a continuous random variable x has a probability density function, or a PDF, f.
So suppose we have a random variable x And this random variable maps into the set 01.
The cumulants k n of the random variable X are defined by the cumulant generating function g ( t ), EPMATHMARKEREP.
You'll also be interested in:
Examples of using Random
Show more
Banditry and random violence are on the increase
They just pick up any dish at random
Random physical inventories are performed on a monthly basis
Examples of using Variable
Show more
Variable oversight over supply chain activities
Because they have a variable interest rate
This variable reflects quite complex forces
