In this paper, we explore the feasibility of using RSS (Ranked Set Sampling) in improving
the estimates of the population mean in comparison to SRS (Simple Random Sampling)
in Horticultural research. We use an experience developed with a survey of apples in
India. The numerical results suggest that RSS procedure results in a substantial reduction
of standard errors, and thus provides more efficient estimates than SRS, in the specific
Horticultural Survey studied, using the same sample size. Then it is recommended as an
easy-to-use accurate method to management of this Horticulture problem.
