Mean Deviation : Mean deviation measures the degree to which the data points vary from the mean. In simpler terms, it tells us how much the data points are...
Mean Deviation:
Mean deviation measures the degree to which the data points vary from the mean.
In simpler terms, it tells us how much the data points are spread out from the average value.
The mean deviation formula is:
Mean Deviation = (∑ (x - x̄)^2) / n
where:
∑ represents the sum of all the values
x represents each individual data point
x̄ represents the mean
n represents the total number of data points
The mean deviation can be interpreted as the average distance between each data point and the mean. A lower mean deviation indicates that the data points are clustered around the mean, while a higher mean deviation indicates that the data points are spread out more widely.
The mean deviation is used to assess the consistency and central tendency of a data set. It is a valuable measure that can be used in various statistical analyses, including hypothesis testing and regression analysis