Examples of using Random variables in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
In probability theory, the central limit theorem states conditions under which the average of a sufficiently large number of independent random variables, each with finite mean
They used Bayesian network modeling- a graphical model using probability, random variables and conditional dependencies- to combine data of ancient climates,
with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.
such measurements can be considered as outcomes of random variables, but rainfall clearly occurs at other locations
proved the law of the iterated logarithm for sums of independent random variables, under very general conditions on the summands.
approximately normally distributed random variables with the mean and variances shown in Table 11-1,
Let X be the random variable defined on.
If X is a normal random variable with standard….
(12 points) Suppose X a Poisson random variable with.
Each worth of the random variable has a likelihood.
If the expectation does not exist, then the random variable has no mean.
Exponential Distribution A random variable X has an exponential distribution with.
Each oval shape represents a random variable that can adopt a number of values.
So for an exponentially distributed random variable σ2= μ2.
A random variate is a particular outcome of a random variable.
Calculate the expected value of a random variable;
Stochastic Model Has one or more random variable as inputs.
Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space.
Sometimes a program must generate a random variable and it could be that the parameters on the generator are too wide(it generates larger numbers than it should).
A special form of the LLN(for a binary random variable) was first proved by Jacob Bernoulli.