MLchartDataset catalogue

Statistical Significance, Test of

Term · Economic statistics · MLC-T-ECS-001861

A test of statistical significance provides statistical evidence that indicates whether an observed difference between two estimates is likely due to chance ("not statistically significant"), or likely represents a true difference that exists in the population as a whole ("statistically significant").

Statistical significance in Census data products is usually reported at the 90 percent confidence level.

Note that some statistical significance results displayed in American FactFinder may be based on unrounded estimates and standard errors, and users may not be able to duplicate the results using the rounded estimates and measures of error as displayed on American FactFinder.

Record as JSON
{
  "id": "MLC-T-ECS-001861",
  "term": "Statistical Significance, Test of",
  "field": "Economic statistics",
  "definition": "A test of statistical significance provides statistical evidence that indicates whether an observed difference between two estimates is likely due to chance (\"not statistically significant\"), or likely represents a true difference that exists in the population as a whole (\"statistically significant\").\n\nStatistical significance in Census data products is usually reported at the 90 percent confidence level.\n\nNote that some statistical significance results displayed in American FactFinder may be based on unrounded estimates and standard errors, and users may not be able to duplicate the results using the rounded estimates and measures of error as displayed on American FactFinder.",
  "see_also": [
    "American Community Survey",
    "Confidence interval (American Community Survey)",
    "Estimates (American Community Survey and Census 2000 Supplementary Survey)"
  ],
  "references": [
    "U.S. Census Bureau Glossary"
  ],
  "url": "https://mlchart.com/terminology/economic-statistics/statistical-significance-test-of/"
}

Record 1,861 of 2,177 in Economic statistics terminology (MLC-0116). Request the full dataset.