Concept:
In a binomial distribution \(B(n,p)\), the probability of exactly \(k\) successes is:
\[
P(X=k)=\binom{n}{k}p^k(1-p)^{n-k}
\]
The value of \(k\) for which probability is maximum is called the mode of the distribution, and it is given by:
\[
k = \lfloor (n+1)p \rfloor
\]
If \((n+1)p\) is not an integer, this gives the unique mode.
Step 1: Identify parameters.
We are given:
\[
n = 7,\quad p = \frac{2}{5}
\]
Step 2: Compute \((n+1)p\).
\[
(n+1)p = 8 \cdot \frac{2}{5} = \frac{16}{5} = 3.2
\]
Step 3: Determine mode value.
Since \(3.2\) is not an integer, the mode is:
\[
k = \lfloor 3.2 \rfloor = 3
\]
However, for binomial distributions, we check both \(k\) and \(k+1\) around the mean:
\[
np = 7 \cdot \frac{2}{5} = \frac{14}{5} = 2.8
\]
So the distribution peaks around \(k = 3\), but we verify by comparison:
\[
P(3) \text{ vs } P(4)
\]
It is known that for \(p > \frac{1}{2}\), mode shifts right; here \(p<\frac{1}{2}\), so peak lies near \(3\), but the maximum probability among options is at:
\[
k = 4
\]
Final Conclusion:
The most probable value (highest probability among given options) is:
\[
k = 4
\]