Let X1, · · · , X4 denote a random sample from a population having mean µ and variance σ^ 2 = 1. Consider the following estimators of µ: θ1 = (X1 + X2 + X3 + X4)/ 4 ,
θ2 = (2X1 − X2 + X3 ) / 2 .
(a) (5 points) Show whether or not each estimator is unbiased.
(b) (5 points) Calculate V (θb1) and V (θb2). Which estimator is better? Why?

answer: 270

step-by-step explanation:

you have to times 200 by 1.35 to get your answer

yes   because as the functions are graphed they eventually will intersect unless otherwise

step-by-step explanation:

c. 1,233 miles

step-by-step explanation:

given expression is .

now we need to simplify the given expression .

we know that square root is equivalent to the power 1/2. so that means we can take half of the exponents to get the square root of given expression.

expanding that will give a very very large number so let's keep answer in exponent form.