Chi-Square Distribution

COMPUTE CHI-SQUARE DISTRIBUTIONSCENARIO:
  • A phenomenon you are studying has been sub-divided into several categories, with its chi-square value derived from the observed and the expected values in each category.
  • The chi-square distribution is a goodness-of-fit test that will tell you if your observations are consistent with your expected model of a phenomenon.
  • From the given chi-square value, does your observation fit well with your expected model?
The unified value derived from the observed and the expected values
The characteristics by which the data has been classified
Area covered by the critical region.
This is the opposite of confidence level.
(i.e. If level of significance = 0.1%, then confidence level = 99.9%)