MLchartDataset catalogue

Confidence coefficient

Term · Environment · MLC-T-ENV-006119

1. "The probability statement that accompanies a confidence interval and is equal to unity minus the associated type I error rate (false positive rate). A confidence coefficient of 0.10 implies that 90% of the intervals resulting from repeated sampling of a population will include the unknown (true) population parameter (QAMS 1993, 6).

2. Probability statement that accompanies a confidence interval and is equal to unity minus the associated type I error rate (false positive rate). A confidence coefficient of 0.10 implies that 90% of the intervals resulting from repeated sampling of a population will include the unknown (true) population parameter (QAMS 1993, 6).

Table 1. Record
IdentifierMLC-T-ENV-006119
FieldEnvironment
SubjectScience and research
ReferencesEnvironmental Modeling and Assessment Program (EMAP) Master Glossary; EMAP Master Glossary
Record as JSON
{
  "id": "MLC-T-ENV-006119",
  "term": "Confidence coefficient",
  "field": "Environment",
  "definition": "1. \"The probability statement that accompanies a confidence interval and is equal to unity minus the associated type I error rate (false positive rate). A confidence coefficient of 0.10 implies that 90% of the intervals resulting from repeated sampling of a population will include the unknown (true) population parameter (QAMS 1993, 6).\n\n2. Probability statement that accompanies a confidence interval and is equal to unity minus the associated type I error rate (false positive rate). A confidence coefficient of 0.10 implies that 90% of the intervals resulting from repeated sampling of a population will include the unknown (true) population parameter (QAMS 1993, 6).",
  "subject": "Science and research",
  "references": [
    "Environmental Modeling and Assessment Program (EMAP) Master Glossary",
    "EMAP Master Glossary"
  ],
  "url": "https://mlchart.com/terminology/environment/confidence-coefficient/"
}

Record 6,119 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.