Matemática discreta Ejemplos

Una variable aleatoria discreta ${\displaystyle x}$ toma un conjunto de valores separados (como ${\displaystyle 0}$, ${\displaystyle 1}$, ${\displaystyle 2}$ ...). Su distribución de probabilidad asigna una probabilidad ${\displaystyle P\left(x\right)}$ a cada valor posible ${\displaystyle x}$. Para cada ${\displaystyle x}$, la probabilidad ${\displaystyle P\left(x\right)}$ cae entre ${\displaystyle 0}$ y ${\displaystyle 1}$ inclusive y la suma de las probabilidades para todos los posibles valores de ${\displaystyle x}$ es igual a ${\displaystyle 1}$.

${\displaystyle -13}$ is not greater than or equal to ${\displaystyle 0}$, which doesn't meet the first property of the probability distribution.

${\displaystyle -31}$ is not greater than or equal to ${\displaystyle 0}$, which doesn't meet the first property of the probability distribution.

${\displaystyle -59}$ is not greater than or equal to ${\displaystyle 0}$, which doesn't meet the first property of the probability distribution.

${\displaystyle -97}$ is not greater than or equal to ${\displaystyle 0}$, which doesn't meet the first property of the probability distribution.

${\displaystyle -146}$ is not greater than or equal to ${\displaystyle 0}$, which doesn't meet the first property of the probability distribution.

La probabilidad ${\displaystyle P\left(x\right)}$ no cae entre ${\displaystyle 0}$ y ${\displaystyle 1}$ inclusive para todos los valores ${\displaystyle x}$, lo que no cumple con la primera propiedad de la distribución de probabilidad.