Step 1 :Define the null and alternative hypotheses as follows: \n\n\[\begin{array}{l}H_{0}: \sigma_{1}^{2}=\sigma_{2}^{2} \H_{1}: \sigma_{1}^{2} \neq \sigma_{2}^{2}\end{array}\]
Step 2 :Calculate the test statistic. The test statistic is \(\boxed{7.61}\).
Step 3 :Calculate the P-value using the chi-square distribution with degrees of freedom equal to the sample size minus 1. The P-value is the probability of observing a test statistic as extreme as the one calculated, assuming the null hypothesis is true. The specific value of the P-value is not provided in the question.