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.

may i see the picture? it would a lot, xox

p ÷ r = tan(x)

step-by-step explanation:

given that there is a figure below shows a right triangle: a right triangle is shown with hypotenuse equal to q units and the length of the legs equal to p units and r units.

graph is missing so i will create the graph as per given information.

the angle between the legs having lengths p units and q units is y degrees. the angle between the legs having lengths r units and q units is x degrees.

now we need to find about what is p ÷ r equal to.

so we can use trigonometric ratio tan(x)=[altitude]/[base] to find the value of p ÷ r, because p is the altitude and r is the base.

p ÷ r=tan(x)

hence final answer is p ÷ r=tan(x).