1. Expectation of Xiβ1β: - For XβΌF20,40β, the expectation E(X1β) exists when the numerator degrees of freedom (d1β) satisfies d1β>2. - Using properties of the F-distribution: E(X1β)=d2ββ2d2ββ,where d1β=20,d2β=40. - Substituting d2β=40: E(X1β)=40β240β=3840ββ1.05.
2. Convergence in Probability: - By the Law of Large Numbers, the sample mean converges in probability to the expected value: n1βi=1βnβXiβ1ββPE(X1β).