Please tell me why you think, tossing a die ten times, the outcomes are not equally likely.
Tossing a die ten times [imath]6,1,1,3,6,5,6,6,1,1[/imath] is equally likely as [imath]6,1,2,3,6,5,4,6,1,1[/imath].
But the first does not contain all possible outcomes but the second does.
Order has nothing to do with this question. Among the ten outcomes does each of the six numbers appear at least once.
Again, one die is tossed ten times. The probability: the number of ways in which each of the six numbers shows at least once
divided by the number of ways we can randomly get ten of [imath]1,2,3,4,5,6[/imath]
How many ways can we put ten identical balls into six distinct cells.
If done on a random (but equality probable) way, what is the probability no cell will be empty?
The problem is that there can be more
ways to obtain one outcome (arrangement of balls in boxes) by rolling dice, than to obtain another.
Take a small example:
flip a coin (2-sided "die") 4 times; what is the probability that you get all possible "numbers" (both H and T) among the four?
Your calculation, using [imath]n=4[/imath] and [imath]k=2[/imath], gives [math]\frac{\dbinom{n-1}{k-1}}{\dbinom{n+k-1}{n}}=\frac{\dbinom{4-1}{2-1}}{\dbinom{4+2-1}{4}}=\frac{\dbinom{3}{1}}{\dbinom{5}{4}}=\frac{3}{5}[/math]
In reality, there are [imath]2^4=16[/imath] outcomes from the 4 flips, of which only 2 are all heads or all tails, so the probability of getting both H and T is
[math]\frac{\text{some H, some T}}{\text{all sets of 4 tosses}}=\frac{14}{16}=\frac{7}{8},[/math]
which is different from your result, unless I've badly misinterpreted something.
How did this happen? There are clearly 5
outcomes from putting the balls in the bins, namely (H,T) = (4,0), (3,1), (2,2), (1,3), and (0,4). But there is only
one way to get (4,0), namely HHHH, whereas there are
5 ways to get (3,1), namely (HHHT, HHTH, HTHH, and THHH. And so on, with each outcome having its own probability. They are
not equally likely.
I am very cautious when modeling an event, to make sure that the process I use in counting behaves the same as the process specified in the problem. In the
process of tossing coins to decide where balls should go, the dice (or rolls)
are distinguishable. In
counting only how many balls (rather than which specific rolls) are in each bin, you have flattened out the process. In effect (though not in egregiousness!) what you are doing is the equivalent of saying the probability of tossing heads is 1/3, because there are 3 possible outcomes (heads, tails, and edge).