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(a) Use Theorem 5-6 to determine the expected number of samples in Problem 5.1 for which sample variances are greater than 7.2. (b) Check the result in (a) with the actual result. (a) We have n=2, a^2=10.8 [from Problem .6.1(b)]. For s1^2=7.2, we have (n θ1^2)/(e^2)=((2)(7.2))/(10.8)=1.33 Now nccording to Theorem 5-6 x^2=n S^2 / σ^2=2 S^2 / 10.8 hns the chi-square diatribution with 1 degree of freedom. From the table in Appendix 𝐄 it follows that P(S^2 ≷s1^2)=P(x^2 ≥1.88)=0.25 Thus we would exp

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