Calculating $Pr(E\cap F)$, let us define our sample space as all ways of distributing the cards where order within each hand doesn't matter and where north and south's hands are considered collectively as one. There are $\frac{52!}{26!13!13!}$ such distributions, each of which are equally likely to occur.
Let us count $|E\cap F|$ in this sample space. To do so, first choose which eight spades north/south got and then which 18 non-spades north/south got.
Then, choose which three spades from those remaining east got and which 10 non-spades from those remaining east got. All remaining cards will be given to west.
There are then $\binom{13}{8}\binom{39}{18}\binom{5}{3}\binom{21}{10}$ such arrangements implying the probability $Pr(E\cap F)$ is:
$$Pr(E\cap F)=\frac{\binom{13}{8}\binom{39}{18}\binom{5}{3}\binom{21}{10}}{52!/(26!13!13!)}=\frac{15152709}{276092852}\approx 0.05488$$
Continuing on to calculate $Pr(F)$, now we temporarily instead consider the sample space to be just the ways in which we divide the deck in half, i.e. giving 26 cards to north/south collectively where order within the hand is unimportant and giving the remaining cards to east/west. There are $\binom{52}{26}$ such ways to do so, each of which are equally likely to occur.
We count $|F|$ in this sample space as being $\binom{13}{8}\binom{39}{18}$, thus making $Pr(F)=\frac{\binom{13}{8}\binom{39}{18}}{\binom{52}{26}}=\frac{44681065}{276092852}\approx 0.161833$
Taking the ratio $\frac{Pr(E\cap F)}{Pr(F)}$ will arrive at the same answer as given before after simplifications.
$$Pr(E\mid F)=\frac{Pr(E\cap F)}{Pr(F)}=\frac{39}{115}\approx 0.3391304$$
As an aside, let us look at $Pr(E)$ and inspect whether $E$ and $F$ truly are independent.
We let the sample space be all ways in which East is given a hand ignoring how the rest of the cards are distributed. There are $\binom{52}{13}$ ways in which this can happen. Choosing which three spades and which 10 nonspades gives us $\binom{13}{3}\binom{39}{10}$ possible hands and a probability of $Pr(E)=\frac{\binom{13}{3}\binom{39}{10}}{\binom{52}{13}}\approx 0.28633$
(notice that no mention of how spades are distributed among north/south appeared in the calculation of $Pr(E)$. You seem to have confused calculating $Pr(E)$ with $Pr(E\mid F)$)
We compare $Pr(E\cap F)\approx 0.05488$ to $Pr(E)Pr(F)\approx 0.161833\cdot 0.28633\approx 0.04634$. Indeed, even if we take the exact values we see that these are different numbers and therefore $E$ and $F$ are not independent as claimed.
You got the correct answer, though you didn't use conditional probability. Your method works here because, as you noted, knowing that the 2nd and 3rd cards are spades is basically equivalent to removing them from the deck before we picked the 1st card.
The way to do this with conditional probability would be to take the probability of both events -- i.e., the probability that the first three cards are all spades -- and divide by the probability of the observed event -- i.e., the probability that the second and third cards are both spades. We get
$$\dfrac{\frac{13}{52}\cdot \frac{12}{51}\cdot\frac{11}{50}}{\frac{13}{52}\cdot \frac{12}{51}} = \dfrac{11}{50} $$
Best Answer
There are only 26 cards left in the deck. 5 are spades, 21 are not. We use the $\frac{Number- of -favorable -outcomes}{Number- of- possible- outcomes}$ formula. Thus we get $\frac{{5 \choose 3}{21 \choose 10}}{{26 \choose 13}}$.