Two n bit binary strings, S1 and S2 are chosen randomly with uniform probability. The probability that the Hamming distance between these strings (the number of bit positions where the two strings differ) is equal to d is A. $$\frac{{{}^{\text{n}}{{\text{C}}_{\text{d}}}}}{{{2^{\text{n}}}}}$$ B. $$\frac{{{}^{\text{n}}{{\text{C}}_{\text{d}}}}}{{{2^{\text{d}}}}}$$ C. $$\frac{{\text{d}}}{{{2^{\text{n}}}}}$$ D. $$\frac{1}{{{2^{\text{d}}}}}$$

$$ rac{{{}^{ ext{n}}{{ ext{C}}_{ ext{d}}}}}{{{2^{ ext{n}}}}}$$
$$ rac{{{}^{ ext{n}}{{ ext{C}}_{ ext{d}}}}}{{{2^{ ext{d}}}}}$$
$$ rac{{ ext{d}}}{{{2^{ ext{n}}}}}$$
$$ rac{1}{{{2^{ ext{d}}}}}$$

The correct answer is $\boxed{\frac{{{}^{\text{n}}{{\text{C}}_{\text{d}}}}}{{{2^{\text{n}}}}}}$.

To calculate the probability of a Hamming distance of $d$, we need to count the number of ways to choose $d$ bit positions where the two strings differ, and then divide this by the total number of possible strings. The total number of possible strings is $2^n$, since each bit can be either 0 or 1. The number of ways to choose $d$ bit positions where the two strings differ is ${{n \choose d}}$, which is the binomial coefficient. The binomial coefficient is the number of ways to choose $d$ objects from a set of $n$ objects.

Therefore, the probability of a Hamming distance of $d$ is $$\frac{{{}^{\text{n}}{{\text{C}}_{\text{d}}}}}{{{2^{\text{n}}}}}$$

Option A is incorrect because it divides by $2^d$ instead of $2^n$. Option B is incorrect because it divides by $2^d$ instead of $2^n$ and also includes the case where $d=0$, which is not a possible Hamming distance. Option C is incorrect because it does not take into account the number of possible ways to choose the bit positions where the two strings differ. Option D is incorrect because it is the probability that the two strings are identical, which is not the same as the probability that the Hamming distance is 0.