When we look at sorting methods like Bubble Sort, Insertion Sort, and Selection Sort, it’s interesting to see how long they take to finish their work, especially when sorting lists with a simple structure.

1. Bubble Sort:

   • Best Case (when the list is already sorted): $O(n)$
   • Average and Worst Case: $O(n^2)$
   • Bubble Sort is easy to get but not good for big lists. It makes a lot of extra checks, even when the list is sorted or almost sorted.

2. Insertion Sort:

   • Best Case (when the list is already sorted): $O(n)$
   • Average and Worst Case: $O(n^2)$
   • Insertion Sort works well with small lists or lists that are nearly sorted. It sorts the list one piece at a time, like putting a hand of cards in order!

3. Selection Sort:

   • Best, Average, and Worst Case: $O(n^2)$
   • This method picks the smallest (or biggest) item from the unsorted part and moves it to the front. It’s simple but doesn’t do well with big lists because it always takes $O(n^2)$ time to finish, no matter what.

In short, while each of these methods has its own strengths, Bubble Sort and Selection Sort are usually slower than Insertion Sort, especially when the list gets bigger. If you’re working with small lists or special situations, Insertion Sort might be your best choice!