Question

mean absolute deviation dont use big words make redefinition easily understandable plz and I will put yours as brainliest

Answer 1

Answer:

The average absolute deviation, or mean absolute deviation ,of a data set is the average of the absolute deviations from a central point. In the general form, the central point can be a mean, median, mode, or the result of any other measure of central tendency or any random data point related to the given data set. The absolute values of the differences between the data points and their central tendency are totaled and divided by the number of data points.

The mean absolute deviation of a set {x1, x2, ..., xn} is

$\frac{1}{n}$ ∑₁ⁿ |xₙ - mx|

For example if the set is { 1 , 2 , 3 , 4 } then mean =2.5

Mean absolute deviation of mean =$\frac{|1-2.5| + |2-2.5| + |3-2.5| + |4-2.5|}{4}$

= 4/4

=1

HOPE THIS WILL HELP YOU!

Answer 2

Answer:

The average absolute deviation of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability

To find the mean absolute deviation of the data, start by finding the mean of the data set. Find the sum of the data values, and divide the sum by the number of data values. Find the absolute value of the difference between each data value and the mean: |data value – mean|.