You use a chi-square test to compare the standard deviation (or variance) of a population to a given (i.e., constant) value; is has one degree of freedom value (based on the sample size for given population).
You use an F-test to compare the variances of two populations to each other; it has two degree of freedom values (based on each of the sample sizes for the two populations).
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