Roman C. answered 09/23/26
Masters of Education Graduate with Mathematics Expertise
Note that Bias(estimator,parameter) = E(estimator) - parameter. The mean squared error is the second-moment centered around the population parameter.
Bias(p-hat,p) = Bias(X/14,p) = E(X/14) - p = 12p/14 - p = -p/7
Var(p-hat) = Var(X/14) = Var(X)/196 = 12p(1-p)/196 = 3p(1-p)/49
MSE(p-hat,p) = E[(X/14 - p)^2] = E(X2)/196 - pE(X)/7 + p2 = [Var(X) + E(X)2]/- pE(X)/7 + p2
= [12p(1-p) + 144p2]/196 - 12p2/7 + p2 = (12p - 12p2 + 144p2)/196 - 12p2/7 + p2
= 3p/49 + 33p2/49 - 12p2/7 + p2 = 3p/49 - 2p2/49 = (3p - 2p2)/49