chi-squared test

A test of the closeness of an observed result to the expected result, and hence how closely a model corresponds to a particular sample of n members of a population. χ ² is given by

χ² = (n - )s²/σ²,

where s² is the observed sample variance and σ is the standard deviation of the model. Values of χ ² have been tabulated for a range of values of n, and their distributions (chi-square distributions with (n - 1) degrees of freedom) derived in each case.

Related category

• PROBABILITY AND STATISTICS

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