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The objective of this study was to develop a new approximation method for determining confidence intervals for the coefficient of variation, and, using Monte Carlo simulation, to compare the relative efficiency of the new method with Miller's, Vangel's, and two types of Mahmoudvand and Hassani's methods. It was found that the efficiency of the new approximation method was superior whenn > 30 and the population coefficient was greater than 0.5. Withn > 30 and the population coefficient less than 0.5, the new method was no less efficient than the other methods, and sometimes better. The new method was applied to examine the variability of a variety of agricultural products using data from 2006-2010. It was found that the variation in cassava yields was less than that for maize, rubber, and main rice. Cassava production was more stable across all environments.

An examination of the variability of agricultural production using a new approximate confidence interval for the coefficient of variation