In MIT Opencourware Probabilistic Systems Analysis and Applied Probability course, there's a recitation problem for Lecture 4:
Quotestion: Imagine that 8 rooks are randomly placed on a chessboard. Find the probability that all the rooks will be safe from one another, i.e. that there is no row or column with more than one rook.
And the solution is like that:
Solution: We will count the number of favorable positions in which we can safely place 8 rooks, and then divide this by the total number of positions for 8 rooks on a 8 × 8 chessboard. First we count the number of favorable positions for the rooks. We will place the rooks one by one. For the first rook, there are no constraints, so we have 64 choices. Placing this rook, however, eliminates one row and one column. Thus for our second rook, we can imagine that the illegal column and row have been removed, thus leaving us with a 7 × 7 chessboard, and thus with 49 choices. Similarly, for the third rook we have 36 choices, for the fourth 25, etc... There are
64 · 63 · · · 57total ways we can place 8 rooks without any restrictions, and therefore the probability we are after is:64 · 49 · 36 · 25 · 16 · 9 · 4 / (64!/56!)
I understand the part that placing the rooks that all will be safe but I could not understand the part that we find the sample space(total number of positions for 8 rooks on an 8 × 8 chessboard).
Why don't we just say that there are C(64,8) ways to choose the cells that we will place the 8 rooks? For example, placing a1 first and e7 second does not matter for us, it could be e7 first and a1 second. It means the ordering is not important for us. So why does the solution counts step by step?