Chi-Square Goodness of Fit Test

Definition

The chi-square goodness of fit test is a statistical test used to determine if observed categorical data fits an expected distribution. It compares the observed frequencies with the expected frequencies and assesses whether any significant differences exist.

Related terms

Null Hypothesis: The null hypothesis states that there is no significant difference between the observed and expected frequencies in a chi-square goodness of fit test.

Alternative Hypothesis: The alternative hypothesis suggests that there is a significant difference between the observed and expected frequencies in a chi-square goodness of fit test.

Degrees of Freedom: Degrees of freedom represent the number of categories minus one in a chi-square goodness of fit test.