Mean Absolute Deviation is a quantity of measurement that gives you an idea how far, on average, are the data points deviating from the mean. Its equation is
MAD = ∑|x - μ| / N, where
x is a single data point
μ is the mean of the data set
N is the total number of data points
Suppose, a data set consist of the following: 4, 7, 5, 9, 6, 7, 7, 4. Let's solve first for the mean:
μ = (4+7+5+9+6+7+7+4)/8 = 6.125
Then, the MAD is equal to:
MAD = (|4 - 6.125| + |7 - 6.125| +|5 - 6.125| +|9 - 6.125| +|6 - 6.125| +|7 - 6.125| +|7 - 6.125| +|4 - 6.125|) ÷ 8
MAD = 11/8
MAD = 1.375
THE ANSWER IS B Show the results of your calculations for the reflection.
Is that all the information privided? Im tring to figure it out but I feel like im missing something.
Answer:
A.-2/3
Step-by-step explanation:
formula of gradient
dy/dx=y2-y2/x2-x1
1-3/-2-(-5)
=-2/3.
8x+(4*30)=6(6+30)
8x+120=6x+180
2x=60
x=30 pounds of coffee
