Chi-squared goodness-of-fit test method

{
  "id": "MLC-T-ENV-004876",
  "term": "Chi-squared goodness-of-fit test method",
  "field": "Environment",
  "term_source": "Chi-Squared Goodness-of-Fit Test Method",
  "definition": "1. The chi-square test is used to test if a sample of data came from a population with a specific distribution. An attractive feature of the chi-square goodness-of-fit test is that it can be applied to any univariate distribution for which you can calculate the cumulative distribution function. The chi-square goodness-of-fit test is applied to binned data (i.e., data put into classes). This is actually not a restriction since for non-binned data one can simply calculate a histogram or frequency table before generating the chi-square test. However, the value of the chi-square test statistic is dependent on how the data is binned. Another disadvantage of the chi-square test is that it requires a sufficient sample size in order for the chi-square approximation to be valid.\n\n2. The chi-squared goodness of fit test is a test for comparing a theoretical distribution, such as a Normal, Poisson etc, with the observed data from a sample.",
  "subject": "Research",
  "references": [
    "NIST/SEMATECH 2005a; EPA Thesaurus of Terms Used in Microbial Risk Assessment: 5.9 Modeling, Statistics, and Math Terms at http://water.epa.gov/scitech/swguidance/standards/criteria/health/microbial/T59.cfm",
    "STEPS 1997; EPA Thesaurus of Terms Used in Microbial Risk Assessment: 5.9 Modeling, Statistics, and Math Terms at http://water.epa.gov/scitech/swguidance/standards/criteria/health/microbial/T59.cfm"
  ],
  "url": "https://mlchart.com/terminology/environment/chi-squared-goodness-of-fit-test-method/"
}