In the book Stats with Julia on p. 79 is reads ...
"The probability distribution of a random variable fully describes the probabilities of the events such as $\{\omega\in \Omega : X(\omega) \in A\}$ for all sensible $A \subset R$"
How would you say "$\{\omega\in \Omega : X(\omega) \in A\}$" in plain English?
Is it ....
for every possible outcome $(\omega)$ in the $(\in)$ event space $(\Omega)$ such that $(:)$ there is some specific outcome $(X(\omega))$ in the set $A$ where set $A$ contains real numbers
.. is that close??
[Edit] Yeah. The way to see, is to look to $X$ being a function (random variable). $$X: \Omega \longrightarrow \mathbb{R}.$$ The subset $A\subset \Bbb R$ is just to know what values can be and restrict the events $\omega\in \Omega$.