Step 1: Understanding the Question:
The problem provides the standard deviation ($\sigma$) and mean ($\bar{x}$) of a data distribution set. We need to calculate its coefficient of variation (CV) expressed as a percentage.
Step 2: Key Formula or Approach:
The coefficient of variation (CV) is a relative measure of data dispersion and is defined as the ratio of the standard deviation to the arithmetic mean, multiplied by 100:
$$\text{CV} = \frac{\text{Standard Deviation }(\sigma)}{\text{Mean }(\bar{x})} \times 100\%$$
Step 3: Detailed Explanation:
Let's plug the given parameters from the problem text directly into our formula:
Standard deviation, $\sigma = 12$
Mean, $\bar{x} = 72$
$$\text{CV} = \frac{12}{72} \times 100\%$$
Simplify the fraction by dividing the numerator and denominator by 12:
$$\frac{12}{72} = \frac{1}{6}$$
$$\text{CV} = \frac{1}{6} \times 100\% = \frac{100}{6}\%$$
Performing long division:
$$\text{CV} = 16.6666\dots\% \approx 16.67\%$$
This matches option (D).
Step 4: Final Answer:
The coefficient of variation is 16.67