Answer:
The F-test statistic to test the claim that the variances of the two populations are equal is 1.25.
Step-by-step explanation:
For checking the equivalence of 2 population variances of independent samples, we use the <em>F</em>-test.
The hypothesis is,
<em>H</em>₀:
vs. <em>Hₐ</em>: 
The test statistic is given as follows:

It is provided that:
S₁ = 6.9533
S₂ = 6.2248
Compute the test statistic as follows:


Thus, the F-test statistic to test the claim that the variances of the two populations are equal is 1.25.