Sampling Grain Shipments To Detect Genetically Modified Seed
| Autor: | Francis G. Giesbrecht, Andrew B Slate, Thomas B. Whitaker, Larry D Freese |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Pharmacology
Coefficient of variation Sampling (statistics) Sample (statistics) Confidence interval Analytical Chemistry Genetically modified organism Binomial distribution Sample size determination Statistics Environmental Chemistry Statistical analysis Agronomy and Crop Science Food Science Mathematics |
| Zdroj: | Journal of AOAC INTERNATIONAL. 84:1941-1946 |
| ISSN: | 1944-7922 1060-3271 |
| DOI: | 10.1093/jaoac/84.6.1941 |
| Popis: | Using the binomial distribution, the effect of sample size on the variability among sample test results when sampling a lot with 1.0% genetically modified (GM) or biotech seed was evaluated. The coefficient of variation, cv, among 500-seed sample test results taken from a lot with truly 1.0% was computed to be 44.5%. Increasing sample size to 1000 seeds reduced the cv among sample test results to 31.5%. The effects of sample size and accept/reject limits on the buyer's risk (bad lots accepted) and the seller's risk (good lots rejected) was also evaluated assuming a tolerance of 1.0% GM seed. Increasing sample size decreases both the buyer's and seller's risks at the same time. Using an accept/reject limit below the regulatory tolerance decreases the buyer's risk, but increases the seller's risk. Using an accept/reject limit above the regulatory tolerance decreases the seller's risk but increases the buyer's risk. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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