The mean \( \mu \) of a binomial distribution is given by \( \mu = np \), and the variance is given by \( \sigma^2 = npq \).
We are given that the mean is 4 and the variance is 3. Using these, we can solve for \(n\) and \(p\):
\[
\mu = np = 4, \quad \sigma^2 = npq = 3
\]
From this, we find \(p = \frac{1}{4}\), and \(n = 16\).
Now, the mode \( M \) of a binomial distribution is given by:
\[
M = \left( n + 1 \right) p \quad {if} \quad (n + 1)p { is an integer.}
\]
Substituting \(n = 16\) and \(p = \frac{1}{4}\):
\[
M = (16 + 1)\left( \frac{1}{4} \right) = 4
\]
Thus, the mode is 4.