In this problem, we will explore the intersection of bayesian and frequentist inference. let , , ⋯ , ∼i. i.d ,theta) , for some unknown positive number theta , which is our parameter of interest. suppose that we are unable to come up with a prior distribution for theta . (a) 1 point possible (graded) compute the maximum likelihood estimator of theta . you may use the variables , ∑= , and ∑= . (enter sigma x_i(x_i) for ∑= and sigma _i(x_i^2) for ∑= . do not worry if the parser does not render properly; the grader works independently. if you wish to have proper rendering, enclose sigma_i(x_i) by brackets. )

he used the algebra tiles correctly.

step-by-step explanation:

given : 3x(2x-1)

solution :

since he used algebra tiles .

armando's solution is the same in the solution shown in figure

as he distributed 2x into x and x and wrote them vertically

and also write   -1 vertically

and 3x into x and x and x and wrote it horizontally

performing the multiplication in the algebra tiles we get

and solving the given expression :

3x(2x-1)

since solving the expression using tiles   and solving the expression algebraically we get the same answer

thus   we can choose the first statement as the answer to this problem which is "he used the algebra tiles correctly".

.95

step-by-step explanation:

answer: b

step-by-step explanation: