Answer:
Mean absolute deviation (MAD).
Step-by-step explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
Example are the height of a randomly selected person, time it take to move from Texas to New York city, etc.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Examples are the number of light bulbs that burn out in the next year in a room with 19 bulbs, the number of chicken in a district etc.
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
The mean absolute deviation also referred to as mean deviation can be defined as the average of the distance or absolute deviations between the central point of a data set. Thus, it used by statisticians to illustrate the variability or statistical dispersion in a data set.
Mean absolute deviation (MAD) is a measure of variation that should be use to describe two data sets that are both not symmetric i.e they are skewed and as such not having a mirroring image.
