I believe the question divides into two parts:

  1. How many rolls to make a "point" of 2 or more dice with the same number.
  2. How many rolls of the remaining dice to achieve that "point".

Given that the rolls of dice are independent geometrically distributed variables we can use:

  1. $P(Y)$ is the geometric probability distribution of the number $Y=X−1$ of failures before the first success, supported on the set $\{0,1,2,3,...\}$ in setting the "point". The expected value of this is $E_1=\frac{1−p}{p}$, where p is the probability of setting the point (i.e. getting a pair or better).

  2. $R(Z)$ is the distribution for the remaining dice ($r$) to converge on the point. This the maximum of $r$ i.i.d. geometric random variables with $q=\frac{1}{6}$. The answer to Expectation of the maximum of IID geometric random variables gives an expected value of $$ \mathrm E_2=\sum_{k\geqslant0}(1-\mathrm P(Z\leqslant k))=\sum_{k\geqslant0}(1-\mathrm P(Y\leqslant k)^r)=\sum_{k\geqslant0}(1-(1-(1-q)^{k+1})^r). $$

The answers below have been checked against an empirical calculation of 999,999 results using a visual basic program. Empirical results are shown italicized.

$n=1$

Any number will do

$$E_1+E_2=0$$

$n=2$

$$\begin{align}E_1+E_2&=\frac{1-\left(1-\left(\frac{5}{6}\right)\right)}{1-\left(\frac{5}{6}\right)}+\sum_{k\geqslant0}(1-(1-(1-\frac{1}{6})^{k+1})^{2-2})\\ & =\frac{\left(\frac{5}{6}\right)}{\left(\frac{1}{6}\right)}\\ &=5\\ \end{align}$$

5.00 SD 5.48

I'm confident that this answer is correct since it only relies on setting the point, the term relating to the rolls of 0 dice to match it is 0 - which makes complete sense. Let's see how we go with $n=3$

$$\begin{align}E_1&=\frac{1-\left(1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)\right)}{1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)}\\ &=\frac{20}{16}\\ &=1.25 \end{align}$$

1.25 SD 1.68

$$\begin{align}E_2&=\sum_{k\geqslant0}(1-(1-(1-\frac{1}{6})^{k+1})^{3-2})\\ &=\sum_{k\geqslant0}\left(\frac{5}{6}\right)^{k+1}\\ &=\frac{1}{1-\frac{5}{6}}-1\\ &=5\ \end{align}$$

5.63 SD 5.49 - this is a little high but only by 0.11 SD

$$E_1+E_2=6.25$$

6.88 SD 5.74

Moving on to $n=4$

$$\begin{align}E_1&=\frac{1-\left(1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)\left(\frac{3}{6}\right)\right)}{1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)\left(\frac{3}{6}\right)}\\ &=\frac{60}{156}\\ &=0.38 \end{align}$$

0.39 SD .73

This is going down as expected, with more dice in play pairs are easier to come by.

$$\begin{align}E_2&=\sum_{k\geqslant0}(1-(1-(1-\frac{1}{6})^{k+1})^{4-2})\\ &=\sum_{k\geqslant0}(1-(1-(\frac{5}{6})^{k+1})^{2})\\ &=\sum_{k\geqslant0}(1-(1-2(\frac{5}{6})^{k+1}+(\frac{5}{6})^{2k+2}))\\ &=2\sum_{k\geqslant0}(\frac{5}{6})^{k+1}-\sum_{k\geqslant0}\left(\left(\frac{5}{6}\right)^2\right)^{k+1}\\ &=2\left(\frac{1}{1-\frac{5}{6}}-1\right)-\left(\frac{1}{1-\frac{25}{36}}-1\right)\\ &=10-\left(\frac{36}{11}-1\right)\\ &=10-\frac{25}{11}\\ &\approx7.73\\ \end{align}$$

8.31 SD 6.14

$$E_1+E_2\approx8.11$$

8.7 SD 6.19

The real Yahtzee to $n=5$

$$\begin{align}E_1&=\frac{1-\left(1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)\left(\frac{3}{6}\right)\left(\frac{2}{6}\right)\right)}{1-\left(\frac{5}{6}\right)\left(\frac{4}{6}\right)\left(\frac{3}{6}\right)\left(\frac{2}{6}\right)}\\ &=\frac{120}{1176}\\ &=0.102 \end{align}$$

0.102 SD 0.336

$$\begin{align}E_2&=\sum_{k\geqslant0}(1-(1-(1-\frac{1}{6})^{k+1})^{5-2})\\ &=\sum_{k\geqslant0}(1-(1-3(\frac{5}{6})^{k+1}+3(\frac{5}{6})^{2(k+1)}-(\frac{5}{6})^{3(k+1)}))\\ &=3\sum_{k\geqslant0}(\frac{5}{6})^{k+1}-3\sum_{k\geqslant0}(\frac{5}{6})^{2(k+1)}+\sum_{k\geqslant0}(\frac{5}{6})^{3(k+1)}\\ &=3\left(\frac{1}{1-\frac{5}{6}}-1\right)-3\left(\frac{1}{1-\frac{25}{36}}-1\right)+\left(\frac{1}{1-\frac{125}{216}}-1\right)\\ &=15-\frac{75}{11}+\frac{125}{91}\\ &\approx9.56\\ \end{align}$$

10.0 SD 6.40

$$E_1+E_2\approx10.1$$

I think these are the correct answer even though the empirical results are a bit high for all of them (but well within 1 standard deviation).

The program I used to generate it is a 9kB file which I would post if I knew how. The spreadsheet it generates, however, is 165MB.

For interest, here are the results of the 5-Yahtzee using 3 slightly different algorithms. The D (for dumb) algorithm sets the point at the highest mode on the first roll (i.e. it will match a single die), the normal algorithm sets the point on the first pair or better, the S (for smart) sets the point on the first pair or better but will switch if 3 of a kind come up on the other 3 dice.

5-Yahtzee

The means of the three algorithms are 10.24, 10.16 and 10.10 respectively.

With the 3 rolls you get in a game of Yahtzee you have a 0.0456 chance of getting a Yahtzee on any given turn. You get 13 turns in a game so if you go for nothing else (which is probably not a winning strategy), you have a 0.455 chance of at least one per game. In a 4 person game there is a 0.911 chance of at least one.