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 F-test.
The hypothesis is,
H₀: [tex]\sigma_{1}^{2}=\sigma_{2}^{2}[/tex] vs. Hₐ: [tex]\sigma_{1}^{2}\neq \sigma_{2}^{2}[/tex]
The test statistic is given as follows:
[tex]F=\frac{S_{1}^{2}}{S_{2}^{2}}[/tex]
It is provided that:
S₁ = 6.9533
S₂ = 6.2248
Compute the test statistic as follows:
[tex]F=\frac{S_{1}^{2}}{S_{2}^{2}}[/tex]
[tex]=\frac{(6.9533)^{2}}{(6.2248)^{2}}\\\\=1.24776\\\\\approx 1.25[/tex]
Thus, the F-test statistic to test the claim that the variances of the two populations are equal is 1.25.