Examples of using Random variable in English and their translations into French
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Random variable.
And for any random variable Y.
Random variable.
Characterisation of a random variable.
The random variable X is defined as.
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Characterization of a random variable.
Continuous Random Variable and Density Function.
Expectations and Moments of a Random Variable.
The Exponential Random Variable is Memoryless.
The time to repair is also a random variable.
An example random variable on this space is.
The distribution function of a random variable is.
Continuous random variable and probability distribution;
V 1 is a continuous and standard normal random variable.
Let$X$ be a continuous random variable with density$f$.
The random variable is uniformly distributed between -0.5 and +0.5.
The expected value of a Bernoulli random variable X is.
The entropy of a random variable is a well-defined quantity.
(a) What are the possible values for the random variable x?
Suppose the random variable X can assume k different values.
The mean of the normally distributed random variable.
U is an unobserved random variable whose median is zero.
Represents the mean of the normally distributed random variable X.
Where Y is a binomial random variable with parameters n and 1- P.
This variable is a positive Gaussian random variable.
Define the random variable x as the number of correct answers.
Represents the variance of the normally distributed random variable.
Where V is a binomial random variable with parameters n and P. Thus.
To invoke the command in the module anddisplay the value of the$random variable.
The distribution represents a random variable in the specified units.