How do outliers affect data analysis?
A) They may significantly affect the mean of the data.
B) They affect the mode of the data.
C) They do not, just calculate them with the data the same as all the other data.
D) Not enough information. I would need to know what the data points are.

A

Step-by-step explanation:

Outliers significantly affect the mean of a data set but have little effect on median or mode of a given data set because mean is usually much higher or lower than the other values

5/6

step-by-step explanation:

if i remember correctly with perpendicular stuff you just take away the negative

(b) 240

step-by-step explanation:

first, we use the pythagorean formula using the given side lengths to find x. then we use x to find the side lengths. then we add the side lengths to find the perimeter.

pythagorean theorem formula:

a^2 + b^2 = c^2

(x - 20)^2 + (x - 40)^2 = x^2

x^2 - 40x + 400 + x^2 - 80x + 1600 = x^2

x^2 -120x + 2000 = 0

(x - 100)(x - 20) = 0

x - 100 = 0 or x - 20 = 0

x = 100 or x = 20

we see that the solution x = 20 must be discarded because it will give a negative side length and a side length of 0. the only valid solution is x = 100.

perimeter = sum of the lengths of the sides

perimeter = x + x - 20 + x - 40

perimeter = 3x - 60

replace x with 100.

perimeter = 3(100) - 60

perimeter = 300 - 60

perimeter = 240