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It assesses the difference between observed and expected data.
It checks if sample data fits a specific distribution.
Calculated as n - 1, where n is the number of categories.
It examines the relationship between two categorical variables.
Calculated as (r - 1) × (c - 1), where r is rows and c is columns.
x2 = Σ (O - E)² / E.
O is the observed value; E is the expected value.
It suggests that the observed data does not fit the expected distribution.
It indicates rejecting the null hypothesis.
It is the total number of observations divided by the number of categories.