Tricky dice problem We simultaneously roll two dice in one round until at least one of them shows 3 once. What is the expected number of rolls needed?
I've calculated probability of getting 3 on the 1st roll 
I am really bad in math, sorry 
$= (1/6)^2 + 2(5/6 * 1/6) = 11/36$
Then on the second 
$= (1 - p(\text{on the 1st roll})) \cdot (11/36)$
Third
$= (1 - p(\text{on the 2nd})) \cdot (11/36)$
And so on, then I've just calculated the expected number of this distribution and reached the conclusion that I'll need at least $4$ rolls, since we operate only with integers.
I am really confused, if this approach is correct?
Or should we use the geometric distribution and to get the expected number of rolls we just have to divide $1$ over probability of success, i.e. $11/36$?
And consequently how can we find the minimum number of dice needed to get $3$ at least once on at least one dice if we can simultaneously  roll them no more than $2$ times?
Thank you in advance.

$\frac {11}{36} + (2)(\frac {25}{36})(\frac {11}{36}) + (3)(\frac{25}{36})^2(\frac {11}{36})+ \cdots +(n+1)(\frac {25}{6})^n(\frac {11}{36})\cdots$
That is a $3$ on the first roll, or no $3$ followed by a $3,$ up to $n$ no 3's followed by a $3.$
You have something that resembles a geometric series.  It is not quite, but I forget what it is called. 
$E[Y] = \frac {11}{36}\sum_\limits{n=0}^{\infty} (n+1)(\frac{25}{36})^n$
Now look what happens when we subtract $\frac {25}{36} E[Y]$ from $E[Y]$
$E[Y] -\frac {25}{36} E[Y]= \frac {11}{36} + (2)(\frac {25}{36})(\frac {11}{36})-(\frac {25}{36})(\frac {11}{36}) + (3)(\frac{25}{36})^2(\frac {11}{36}) - (2)(\frac{25}{36})^2(\frac {11}{36})+ \cdots +(n+1)(\frac {25}{6})^n(\frac {11}{36})-(n)(\frac {25}{6})^n(\frac {11}{36})\cdots$
$E[Y](1 -\frac {25}{36}) = \frac {11}{36}\sum_\limits{n=0}^{\infty}(\frac{25}{36})^n$
and that is a more ordinary geometric series.  And we perform a similar operation and we get.
$E[Y](1 -\frac {25}{36})^2 = \frac {11}{36}\\
E[Y] = \frac {36}{11}$
Slightly anti-climactic, isn't it?
