![]() ![]() ![]() The Friedman chi-square tests the null hypothesis that the ranks of the variables do not differ from their expected value. For a constant sample size, the higher the value of this chi-square statistic, the larger the difference between each variable's rank sum and its expected value.
Because a chi-square of 10.3 with three degrees of freedom is unlikely to have arisen by chance, the insurer concludes that the 12 employers do not have equal preference for all four health care plans. |
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Friedman Test Table |