Why is the Central Limit Theorem so important to the study of sampling distributions? Group of answer choices It allows us to disregard the size of the sample selected when the population is not normal. It allows us to disregard the shape of the sampling distribution when the size of the population is large. It allows us to disregard the size of the population we are sampling from. It allows us to disregard the shape of the population when the sample size is large

x= -3 and

step-by-step explanation:

to find the roots of a cubic, use division or factoring to find the factors then set equal to 0. as this is a difference of cubes, it factors into

where a is the cube root of .

here   this is 27 and the cube root of 27 is 3. so we write using the form:

.

set each factor to 0 and solve for x.

x-3=0

x=3

the quadratic expression does not factor and must be solved using the quadratic formula.

where a = 1, b=3, and c=9

this cubic has two complex roots.

it would rotate about 180 degrees.

isaiah walks 3 miles due north, turns and then 5 miles due east. how far is he from his starting point?

a^2 + b^2 = c^2

let c = distance from starting point.

(3)^2 + (5)^2 = c^2

9 + 25 = c^2

34 = c^2

sqrt{34} = sqrt{c^2}

sqrt{34} = c

i those same problems in math and dont know how to do them