Answer:
Mean absolute deviation is the average of the absolute deviations from the mean. It is a measure of variability, which gives us an idea about the spread of data points from mean. Therefore, the small MAD means the data points are less deviated from mean. And the large MAD means the data points are more deviated from mean.
Hence, smaller the MAD lesser the variation in data.
Answer:
B 2/3
Step-by-step explanation:
it's positive 2 over 3
up two and over three
because it's rise over run
so your answer would be the 2nd option or B
I hope this helps! have a nice day/night, blessings, xx, nm <3 :)
Let 
be the dimensions of the rectangle. We know the equations for both area and perimeter:
So, we have the following system:
From the second equation, we can deduce
Plug this in the first equation to get
Refactor as
And solve with the usual quadratic formula to get
Both solutions are feasible, because they're both positive.
If we chose the positive solution, we have
If we choose the negative solution, we have
So, we're just swapping the role of 
and 
. The two dimensions of the rectangle are 
and 
The entire group about which you want to draw conclusions is referred to as a population. A sample is a subset of the population from which you will collect data. The sample size is always smaller than the population's total size. A population in research does not always refer to people.
