Power

{
  "id": "MLC-T-ENV-021810",
  "term": "Power",
  "field": "Environment",
  "definition": "1. The power of a statistical test indicates the probability of rejecting the null hypothesis when it should be rejected (i.e., the null hypothesis is false). Can be considered the sensitivity of a statistical test.\n\n2. The probability of detecting a treatment effect of a given magnitude when a treatment effect of at least that magnitude truly exists. For a true treatment effect of a given magnitude, power is the probability of avoiding Type II error, and is generally defined as (1 - β).\n\n3. Power of a statistical hypothesis test measures the test's ability to reject the null hypothesis when it is actually false; that is, to make a correct decision. In other words, the power of a hypothesis test is the probability of not committing a type II error. It is calculated by subtracting the probability of a type II error from 1, usually expressed as: Power = 1 - P(type II error) = (1-β) The maximum power a test can have is 1, the minimum is 0. Ideally we want a test to have high power, close to 1. [STEPS 1997]\n\n4. Probability of detecting a treatment effect of a given magnitude when a treatment effect of at least that magnitude truly exists. For a true treatment effect of a given magnitude, power is the probability of avoiding Type II error, and is generally defined as (1 - β). [NLM/NICHSR 2004][",
  "subject": "Health and safety",
  "references": [
    "Waste and Cleanup Risk Assessment Glossary",
    "NLM/NICHSR 2004",
    "Thesaurus of Terms Used in Microbial Risk Assessment"
  ],
  "url": "https://mlchart.com/terminology/environment/power/"
}