Coefficient of variation (CV) is a statistical measure used to measure the variability of a distribution relative to its mean. It is defined as the ratio of the standard deviation to the mean of a distribution. A lower CV indicates that the distribution is less variable and more consistent. Therefore, the distribution for which the coefficient of variation is less is more consistent.

Explanation:

- Coefficient of Variation (CV): It is a statistical measure used to measure the variability of a distribution relative to its mean. It is expressed as a percentage and is defined as the ratio of the standard deviation to the mean of a distribution.

- Lower CV: If the CV is lower, it indicates that the distribution is less variable and more consistent.

- More consistent: A distribution with a lower CV is more consistent, as it has less variation around the mean. This means that the values in the distribution are more similar and closer to each other.

- Example: Let's consider two distributions, A and B. Distribution A has a mean of 50 and a standard deviation of 5, while distribution B has a mean of 50 and a standard deviation of 10. The CV for distribution A is 10% (5/50*100), while the CV for distribution B is 20% (10/50*100). Therefore, distribution A is more consistent than distribution B, as it has a lower CV.

- Conclusion: In conclusion, the distribution for which the coefficient of variation is less is more consistent, as it has less variability around the mean.