Step 1: Understand the worst-case scenario in quicksort.
In quicksort, the worst-case partitioning occurs when the pivot element is placed at one of the extreme positions after partitioning:
the first position (smallest element) or the last position (largest element).
This leads to one subarray of size $n-1$ and the other of size $0$, resulting in worst-case time complexity.
Step 2: Identify favorable outcomes.
The array has 25 distinct elements.
Since the pivot is chosen uniformly at random, each element has an equal probability of being chosen as pivot.
Worst-case placement happens if the pivot is:
-- the smallest element, or
-- the largest element.
Thus, number of unfavorable (worst-case) choices $= 2$.
Step 3: Compute the probability.
Total possible pivot choices $= 25$.
\[
\text{Probability} = \frac{2}{25} = 0.08
\]
Step 4: Rounding.
The value $0.08$ is already rounded to two decimal places.
Step 5: Conclusion.
The probability that the pivot is placed in the worst possible location in the first round of partitioning is
\[
\boxed{0.08}
\]