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Abstract

Agricultural economics research may pose problems of how to use limited, diverse information to draw inferences for larger populations. Non parametric statistical procedures are useful when data cannot be analyzed by parametric means. A rural development problem illustrates nonparametric techniques for testing a distributional hypothesis and establishing service cost confidence bounds.

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