(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.

where is the image?

step-by-step explanation:

answer is 8x+24

area of vanessa's patio = length × width

given, length = (3x² + 5x + 10)

width = (x² - 3x - 1)

area of vanessa's patio = (3x² + 5x + 10)(x² - 3x - 1)

= 3x²(x² - 3x - 1) + 5x(x² - 3x - 1) + 10(x² - 3x - 1)

= 3x⁴ - 9x³ - 3x² + 5x³ - 15x² - 5x + 10x² - 30x - 10

= 3x⁴ - 4x³ - 8x² - 35x - 10

hence, expression of vanessa's patio = (3x⁴ - 4x³ - 8x² - 35x - 10)