Random error
Term · Environment · MLC-T-ENV-023092
1. Variations of repeated measurements that are random in nature and not predictable individually. The causes of random error are assumed to be indeterminate or non-assignable. The distribution of random errors is assumed generally to be normal (Gaussian).
2. Unexplainable but characterizable variations in repeated measurements of a fixed true value resulting from processes that are random or statistically independent of each other, such as imperfections in measurement techniques. Some random errors could be reduced by developing improved techniques. (FAO/WHO 2003b)
3. Indefiniteness of result due to finite precision of experiment. Measure of fluctuation in result upon repeated experimentation. (RAIS 2004, SRA 2004)
| Identifier | MLC-T-ENV-023092 |
|---|---|
| Field | Environment |
| Subject | Air |
| References | Radon Glossary of Terms; Thesaurus of Terms Used in Microbial Risk Assessment |
Record as JSON
{
"id": "MLC-T-ENV-023092",
"term": "Random error",
"field": "Environment",
"definition": "1. Variations of repeated measurements that are random in nature and not predictable individually. The causes of random error are assumed to be indeterminate or non-assignable. The distribution of random errors is assumed generally to be normal (Gaussian).\n\n2. Unexplainable but characterizable variations in repeated measurements of a fixed true value resulting from processes that are random or statistically independent of each other, such as imperfections in measurement techniques. Some random errors could be reduced by developing improved techniques. (FAO/WHO 2003b)\n\n3. Indefiniteness of result due to finite precision of experiment. Measure of fluctuation in result upon repeated experimentation. (RAIS 2004, SRA 2004)",
"subject": "Air",
"references": [
"Radon Glossary of Terms",
"Thesaurus of Terms Used in Microbial Risk Assessment"
],
"url": "https://mlchart.com/terminology/environment/random-error/"
}
Record 23,092 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.