I'm reading the following problem in Casella and Berger Statistical Inference Page 20-21. I'm confused how the event $\{4$ aces in 4 cards $\}$ is a subset of $\{i$ aces in $i$ cards $\}$. Can anyone provide an example of what the set and subset would look like?
My assumption is, for the first event, the sample space is the unordered arrangements of drawing 4 cards from the 52-card deck, which is $52\choose4$. The first event $A_1 = \{\{A_c, A_d, A_h, A_s\}\}$, $|A_1| = 1$. For the second event, given $i = 1$, the sample space changes to $52\choose1$ and the event is now $A_2 = \{A_c, A_d, A_h, A_s\}$, $|A_2|= 4$. Therefore, I'm confused on how $A_1 \subset A_2$. Appreciate any guidance here.



$\{\text{$i$ aces in $i$ cards}\}$ is the set of all possible events that you get $i$ aces in first $i$ cards in a row.
Similarly, $\{\text{$4$ aces in $4$ cards}\}$ is the set of all possible events you get 4 aces in the first $4$ cards in a row.
The second event is possible only when the first event has occurred. Thus, the first event contains the possibility of the second event occurring.
Okay, let $\omega$ be a function such that $\omega(i)$ is the card you are getting at $i$th order. We call $\omega$ an event. Then, we can represent $$\{\text{$2$ aces in $2$ cards}\}=\{ \omega : \omega(1)=ace, \omega(2)=ace \}$$
Similarly, $$\{\text{$4$ aces in $4$ cards}\}=\{ \omega : \omega(1)=ace, \omega(2)=ace, \omega(3)=ace, \omega(4)=ace \}$$
Then, as you can see, if $\omega \in \{\text{$4$ aces in $4$ cards}\}$, then $\omega\in \{\text{$2$ aces in $2$ cards}\}$.