Examples of using A random variable in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
any trees attribute can be used as a random variable.
Others, such as characteristic functions(or Laplace transforms) of a random variable can be used to uniquely identify
The binomial distribution tells us that the expected value of a random variable is equal to the number of trials that that random variable's kind of composed of, right?
is a sequence of random variables, and X is a random variable, and all of them are defined on the same probability space( Ω, F, Pr){\displaystyle\Omega,{\mathcal{F}},\operatorname{Pr.
All of this means that the random variable dz is equivalent to a random variable w(dt)½, where w is a standard normal variable with mean zero and standard deviation equal to unity.
The Bernoulli process can be formalized in the language of probability spaces as a random sequence of independent realisations of a random variable that can take values of heads or tails.
to compute how likely it is for a random variable underlying the data set to be normally distributed.
then connect that to the notion of a random variable.
or converge in law to a random variable X if lim n→∞ F n( x)
the expected value of a random variable, which is the same thing as the arithmetic mean of the population of this random variable. .
18 ghz frequency band. the fs receiving antenna elevation angle is modeled as a random variable with known probability density function. the proposed mathematical model is applied to two scenarios involving multiple interfering heo systems.
That's not going to be the case with a random variable.
The domain of a random variable is the set of possible outcomes.
For a random variable, it is important to summarize its amount of uncertainty.
Or, since it's a random variable, the expected value of this random variable. .
And that's how you do it for an expected value of a random variable.
Bank condition is a random variable used to represent the probability of failure of a bank.
The lognormal probability distribution is the distribution of a random variable whose logarithm follows normal distribution.
Each oval shape represents a random variable that can adopt any of a number of values.