Y; = Bx; + €;, i = 1, ..., n. here ¤1,..., xn are fixed constants, and e; are i.i.d. random variables that follow N(0, o²) wl 2 is unknown. (a) Is 3 = EYi/Ex; an unbiased estimator of B? Show work. (b) Find the variances of B and ß. If you already found the variance of 3 from Problem 3 then yo don't need to find it again. Which estimator has smaller variance? Which estimator is a bette estimator? And why? Show work.

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear re…

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.