Assume that the number of defects in a car has a Poisson distribution with parameter l. To estimate l we obtain the random sample X1, X2, . . ., Xn. a. Find the Fisher information in a single observation using two methods.
b. Find the Cramer–Rao lower bound for the variance of an unbiased estimator of h.
c. Use the score function to find the mle of h and show that the mle is an efficient estimator.
d. Is the asymptotic distribution of the mle in accord with the second theorem? Explain.

answer is d-29

step-by-step explanation:

since you didn't include the picture, i can give you the description so you know how to pick the correct answer. the third quartile of a data is always shown in a box plot. in the middle of your graph should be a box. the third quartile is the value that goes with the far right edge of the box.

c. y = 1/4 x + 5

step-by-step explanation:

first, put the equation of the line on the graph into slope-intercept form

(y = mx + b):   y = -4x + 8

second, a perpendicular line has to have "an opposite/reciprocal slope" to the original slope. so, find the "m" value in your original equation (it's -4, right? )

original slope: m = -4   perpendicular slope: change the sign to its opposite and find the reciprocal ("flip" the number)

new slope is now positive (b/c the original slope was negative 4), and it's 1/4 (not the original slope of 4 or 4/1)

idk wbu

step-by-step explanation: