Step 1: Understanding the Concept:
The coefficient of variation ($CV$) is a relative measure of dispersion.
It expresses the standard deviation as a percentage of the mean, allowing for comparisons of variability between different datasets regardless of their units or scales.
Key Formula or Approach:
The formula for the coefficient of variation ($CV$) is:
\[ CV = \frac{\sigma}{\mu} \times 100 \]
where:
- $\sigma$ is the standard deviation.
- $\mu$ is the mean of the data.
Step 2: Detailed Explanation:
Let us plug the given values into the equation:
- Coefficient of Variation ($CV$) $= 100$
- Mean ($\mu$) $= 25$
Substitute these values to solve for the standard deviation ($\sigma$):
\[ 100 = \frac{\sigma}{25} \times 100 \]
Divide both sides by $100$:
\[ 1 = \frac{\sigma}{25} \]
Multiply both sides by $25$:
\[ \sigma = 25 \]
Therefore, the standard deviation of the data is $25$.
Step 3: Final Answer:
The standard deviation of the data is $25$.
Hence, the correct option is (B).