Respuesta :
Answer:
Step-by-step explanation:
Given that a contractor records the areas, in square feet, of several houses in a neighborhood to determine data about the neighborhood.
Let X1, X2,...Xn be the data set
We find mean of this by the formula sum/n
Mean = [tex]\bar x =\frac{x_1+x_2+x_3+..+x_n}{n}[/tex]
Now variance is calculated as sum of squares of deviations of each entry from this mean.
Var(x) = [tex]\frac{1}{n} \Sigma _{i=1} ^n(x_i-\bar x)^2[/tex]
Standard deviation = square root of variance
Thus first mean, then variance then sd deviation is calculated.
Answer:
The answer is B on edge
Step-by-step explanation:
The second answer is A: The data is a sample and is expected to be more dispersed from the mean.
