Let Xi be a random variable from a uniform distribution on the interval [0,b]. Thus the lower bound is known but not the upper bound.
You observe n many independent and identically Xi's, what is the expected value of the sample mean X_bar = (1/n) ⁿΣᵢ₌₁ Xi?
How could you transform X_bar to make it an unbiased estimator of b (that is to say the expectation of the estimator is equal to b)?

mx+89b(-98)nb

step-by-step explanation:

-9

step-by-step explanation:

60.9774

step-by-step explanation:

because when you add 47.6 plus 7.32 equals 54.92

and when you add .0574 + 6= 6.0574

and when you add 54.92 and 6.0574 you get the answer of 60.9774.

plzz mark brainlest last one got deleted. cause i didn't explain it but i did but i understand what the mod meant

3 qrs + 3/2 xy hope this : /

step-by-step explanation: