MLchartDataset catalogue

False Negative

Term · Environment · MLC-T-ENV-010656

1. A negative result when the concentration of the target constituent is above the detection limit of the analytical method.

2. The conclusion that an event (e.g., response to a chemical) is negative when it is in fact positive.

3. An analysis determines the absence of an analyte when it is actually present at or above a given concentration or limit. (statistical definition) An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false. {ORD} {OW/EAD} {OPP} {OW/TSC} {OAR/OAQPS} {ORCR}

4. A test or procedure result that incorrectly indicates a negative or normal result when an abnormal condition is actually present.

5. An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false.

6. False negatives occur when the null hypothesis or baseline condition cannot be rejected based on the available sample data. The decision is made assuming the baseline condition is true when in reality it is false. Also known as false acceptance decision errors.

7. Also known as a false acceptance decision errors, a false negative occurs when the null hypothesis or baseline condition cannot be rejected based on the available sample data. The decision is made assuming the baseline condition is true when in reality it is false (EPA 2000a).

8. An analysis determines the absence of an analyte when it is actually present at or above a given concentration or limit. (statistical definition) An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false.

9. Estimation that an analyte is not present when it actually is present. Also called a Type II (beta) error or false acceptance decision error. [EPA 240/R-02/005; QA Glossary]

10. Estimation that an analyte is not present when it actually is present. Also called a Type II (beta) error or false acceptance decision error.

Table 1. Record
IdentifierMLC-T-ENV-010656
FieldEnvironment
SubjectLand, waste and cleanup
ReferencesUnderground Storage Tank Sites Guide Glossary; Waste and Cleanup Risk Assessment Glossary; Forum on Environmental Measurements (FEM) Glossary; NIH AIDS Info Glossary; Modeling Glossary; EPA Guidance on the Development, Evaluation and Application of Environmental Models EPA/100/K-09/003 | March 2009 at http://www.epa.gov/crem/library/cred_guidance_0309.pdf; Environmental Sampling and Analytical Methods (ESAM) Program Glossary; EPA 240/R-02/005; QA Glossary
See alsoType II Error
Record as JSON
{
  "id": "MLC-T-ENV-010656",
  "term": "False Negative",
  "field": "Environment",
  "definition": "1. A negative result when the concentration of the target constituent is above the detection limit of the analytical method.\n\n2. The conclusion that an event (e.g., response to a chemical) is negative when it is in fact positive.\n\n3. An analysis determines the absence of an analyte when it is actually present at or above a given concentration or limit. (statistical definition) An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false. {ORD} {OW/EAD} {OPP} {OW/TSC} {OAR/OAQPS} {ORCR}\n\n4. A test or procedure result that incorrectly indicates a negative or normal result when an abnormal condition is actually present.\n\n5. An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false.\n\n6. False negatives occur when the null hypothesis or baseline condition cannot be rejected based on the available sample data. The decision is made assuming the baseline condition is true when in reality it is false. Also known as false acceptance decision errors.\n\n7. Also known as a false acceptance decision errors, a false negative occurs when the null hypothesis or baseline condition cannot be rejected based on the available sample data. The decision is made assuming the baseline condition is true when in reality it is false (EPA 2000a).\n\n8. An analysis determines the absence of an analyte when it is actually present at or above a given concentration or limit. (statistical definition) An error of the second kind (type II error), which means failing to reject the null hypothesis when it is actually false.\n\n9. Estimation that an analyte is not present when it actually is present. Also called a Type II (beta) error or false acceptance decision error. [EPA 240/R-02/005; QA Glossary]\n\n10. Estimation that an analyte is not present when it actually is present. Also called a Type II (beta) error or false acceptance decision error.",
  "subject": "Land, waste and cleanup",
  "see_also": [
    "Type II Error"
  ],
  "references": [
    "Underground Storage Tank Sites Guide Glossary",
    "Waste and Cleanup Risk Assessment Glossary",
    "Forum on Environmental Measurements (FEM) Glossary",
    "NIH AIDS Info Glossary",
    "Modeling Glossary",
    "EPA Guidance on the Development, Evaluation and Application of Environmental Models EPA/100/K-09/003 | March 2009 at http://www.epa.gov/crem/library/cred_guidance_0309.pdf",
    "Environmental Sampling and Analytical Methods (ESAM) Program Glossary",
    "EPA 240/R-02/005; QA Glossary"
  ],
  "url": "https://mlchart.com/terminology/environment/false-negative/"
}

Record 10,656 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.