Chi-Square Goodness-of-Fit Test
Purpose:
Test for distributional adequacy
The chi-square test (Snedecor and Cochran, 1989) is used to test if a sample of data came from a population with a specific distribution.
Parametric goodness-of-fit tests assume a specific mathematical form for the candidate distribution, leaving only the values of a few parameters to be tested against the sample.
For each distribution, you can compute the table of expected and observed frequencies and the respective Chi-square goodness-of-fit test, as well as the Kolmogorov-Smirnov d test.
 See also: Distribution, T test, Normal distribution, Distribution function, Standard Deviation
  
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