(Sample Statistics) Is the sample excess kurtosis is scale invariant? That is, for a random sample {Xi} n i=1, is it true that g X 2 = g Y 2 , where, ∀i ∈ {1, . . . , n}, Yi = bXi , 1 b ∈ R. Explain your answers. (Hint: remember that g X 2 = n −1 Pn i=1 Xi − X¯ 4 (sX) 4 − 3, where sX is the sample standard deviation of X.

a rotation about point l

step-by-step explanation:

quizlet

the correct answer option is d. la = πrs.

step-by-step explanation:

we know that for a right cone, the lateral surface area is given by:

lateral area of right cone =

here the value under the square root is equal to slant height so replacing this value by in the formula to get:

lateral area of right cone =

therefore, the correct answer option is d.

i’m kinda new to precal but your answer should be 21. hope i got it right.

step-by-step explanation:

(−$11) ⋅ 12

deductions are subtracted and there are 12 months in a year