MLchartDataset catalogue

Significance test

Term · Meteorology and atmospheric science · MLC-T-MET-008874

A statistical method used to determine if an observed difference or relationship between datasets is likely due to chance or represents a true effect. It involves formulating a null hypothesis and calculating a p-value to assess the probability of obtaining the observed results if the null hypothesis were true. Common significance levels include 0.05 or 0.01.

Table 1. Record
IdentifierMLC-T-MET-008874
FieldMeteorology and atmospheric science
See alsoChi-square test; Student's t-test; Analysis of variance
Record as JSON
{
  "id": "MLC-T-MET-008874",
  "term": "Significance test",
  "field": "Meteorology and atmospheric science",
  "definition": "A statistical method used to determine if an observed difference or relationship between datasets is likely due to chance or represents a true effect. It involves formulating a null hypothesis and calculating a p-value to assess the probability of obtaining the observed results if the null hypothesis were true. Common significance levels include 0.05 or 0.01.",
  "see_also": [
    "chi-square test",
    "Student's t-test",
    "analysis of variance"
  ],
  "url": "https://mlchart.com/terminology/meteorology/significance-test/"
}

Record 8,582 of 10,816 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.