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Chi Square Test Statistic Value

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Chi Square Test Statistic Value. Since our test statistic is smaller than our critical value we fail to reject the null hypothesis. The data used in calculating a chi square statistic must be random raw mutually exclusive drawn.

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Degrees of freedom equals the number of categories minus 1. In the standard applications of this. Given a specified value of α.

The data used in calculating a chi square statistic must be random raw mutually exclusive drawn.

If you are unfamiliar with chi square tables the chi square table link also includes a short video on how to read the table. So here the test is to see how good the fit of observed values is variable independent distribution for the same data. If the test statistic is greater than the upper tail critical value or less than the lower tail critical value we reject the null hypothesis. Given a specified value of α.

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