A random sample of n bike helmets manufactured by a company is selected. Let x = the number among the n that are flawed, and let p = P flawed). Assume that only x is observed, rather than the sequence of Ss and Fs. (a) Derive the maximum likelihood estimator of p. If n= 20 and x = 3 what is the estimate?
(b) Is the estimator of (a) unbiased?
(c) If n= 20 and x = 3 what is the mle of the probability (1 - p)^5 that none of the next five helmets examined is flawed?

a, b, c, d are correct.

step-by-step explanation:

we have g(x) = 3 and are required to find which option is a translation of g(x).

now, 'translation' is a transformation which means to shift the function in any direction and the general form of translation is g(x) + k, where k is any real number.

so, according to the options we see that all are correct as they satisfy the general form of translation.

also, it can be seen from the graph below that the function g(x) = 3 is shifted from its position in all the four options.

any of them that add up to 180 degrees.

i know the point slope is y= 1/11x-46/11