Which of the following statements are true (no need to justify)? (1) The transformation of a continuous random variable is always a continuous random variable. (2) The distribution of the transformation of a random variable is always the same as that of the original sat- distribution of the univariate. (3) Many random variables can be represented by a uniformly distributed random variable using if the quantile function of the distribution is known. (4) The accumulation function of several variables is increasing with respect to each variable function. (5) The multidimensional accumulation function is determined by its (one-dimensional) marginal distribution where from. (6) The marginal distributions of a discrete random vector are discrete distributions.

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Which of the following statements are true (no need to justify)?
(1) The transformation of a continuous random variable is always a continuous random variable.
(2) The distribution of the transformation of a random variable is always the same as that of the original sat-
distribution of the univariate.
(3) Many random variables can be represented by a uniformly distributed random variable
using if the quantile function of the distribution is known.
(4) The accumulation function of several variables is increasing with respect to each variable
function.
(5) The multidimensional accumulation function is determined by its (one-dimensional) marginal distribution
where from.
(6) The marginal distributions of a discrete random vector are discrete distributions.

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