Suppose a measurement is made on some physical characteristic whose value is known, and let X denote the resulting measurement error. For an unbiased measuring instrument or technique, the mean value of X is 0. Assume that any particular measurement error is normally distributed with variance s2 . Let X1,... Xn be a random sample of measurement errors. a. Obtain the method of moments estimator of s2 . b. Obtain the maximum likelihood estimator of s2 .

step-by-step explanation:

ask goog great chance of finding the solution there

answer: '

the distance between points l and m

step-by-step explanation:

graph #4 (last graph) depict the function   f(x)= -m(x-d)^1/5 i

step-by-step explanation:

we know that

m=slope

but in this function slope is -m that means slope is decreasing and it is decreasing by 1/5 points down the x-axis.

which is shown in graph four

a decreasing slope down x-axis by 1/5 points.

hence 4th graph is the right option for this.

step-by-step explanation:

your answer would be c