Examples of using 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
To reduce the size of the random variable space, it is strongly recommended that all variables whose uncertainties minimally affect the probability of failure should be considered deterministic.
Where p is the dimension of the multivariate random variable and S_1 the covariance matrix returned by cov1.
All right, so what are the different values that we care about for our random variable?
even data points in the future that you will never be able to get because it's a random variable.
Each of the values of probabilities for each of the random variable values-- you can figure them out by using your binomial coefficients.
The convergence of sequences of random variables to some limit random variable is an important concept in probability theory,
The expected value of this random variable is n times p,
However, it is important to highlight that concrete strength is the most relevant random variable in column reliability,
And that leads us-- let me draw a couple of more random variable definitions just so you get the intuition that these really are functions.
In this example, the test statistic can be shown to be a scaled Chi-square distributed random variable and an exact critical value can be obtained.
Recording all these probabilities of output ranges of a real-valued random variable X{\displaystyle X}
Function: mean_poisson(m) Returns the mean of a Poisson(m) random variable, with m> 0.
Function: std_student_t(n) Returns the standard deviation of a Student random variable t(n), with n> 2.
Thus V is independent of the random variable dz; i.e.,
Function: kurtosis_student_t(n) Returns the kurtosis coefficient of a Student random variable t(n), with n> 4.
Z-score can be computed by subtracting the mean from the given standardized random variable value and then divide by the standard deviation.
Function: kurtosis_normal(m, s) Returns the kurtosis coefficient of a Normal(m, s) random variable, with s>
Function: kurtosis_exp(m) Returns the kurtosis coefficient of an Exponential(m) random variable, with m> 0.
Function: var_rayleigh(b) Returns the variance of a Rayleigh(b) random variable, with b> 0.
Consider an additional random variable Y which may