Chi-Square Goodness-of-fit Test
Chi-Square Goodness of Fit (GOF) tests if the data follows a multi-nominal distribution with certain proportions. If the proportions are not specified, the categories are assumed to have equal proportions. You can also specify assumed proportions to test. ProcessMA GOF can analyze raw or summarized data. In the case of raw data, the frequency count can be left empty (assumed = 1) and specified proportions for each category must be the same. Note that the chi-square may not be reliable if the expected frequency of any category is less than 5.
Null hypothesis: Data follow a multi-nomial distribution with certain proportions
Alternate hypothesis: Data do not follow a multi-nomial distribution with certain proportions.