This section has the following main contents:
(1) Discrete random variables
If the result of a randomized trial can be represented by a variable, then such a variable is called a random variable . The random variables that all values can be listed are called discrete random variables .
(2) Distribution columns of discrete random variables
Generally, if the discrete random variable $x$ may take different values of $x_1$, $x _2$, ..., $x _i$, ..., $x _n$, $X $ take each value $x_i$ ($i =1$,$2$, ..., $n $) The probability $p (x=x_i) =p_i$, in tabular form as follows:
| $X $ |
$x _1$ |
$x _2$ |
.... |
$x _i$ |
|
$x _n$ |
| $P $ |
$p _1$ |
$p _2$ |
... |
$p _i$ |
... |
$p _n$ |
The table is the Probability distribution column (probability distribution series) of the discrete random variable $x$, which is referred to as the distribution column of $x$ (distribution series).
Sometimes for the sake of simplicity, we also use the equation
\begin{equation*}
P (x=x_i) =p_i, I=1, 2, ..., n
\end{equation*}
Represents a distribution column for $x$.
(3) Properties of distributed columns of discrete random variables
Discrete random variables and their distribution columns