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chynawok
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Why is the average of the deviations of a set of measurement values always zero?
An average deviation is a statistical measure that calculates the average difference between each data point and the mean of the data set. It is used to understand the variability or spread of the data.
The average deviation is always zero because it takes into account both positive and negative differences between the data points and the mean. When these differences are averaged, they cancel each other out, resulting in a value of zero.
No, the average deviation and standard deviation are two different measures of variability. While the average deviation calculates the average difference between each data point and the mean, the standard deviation measures the average distance of data points from the mean in a more precise way.
To calculate the average deviation, you first need to find the mean of the data set. Then, subtract the mean from each data point and take the absolute value of the differences. Finally, add up all the absolute differences and divide by the total number of data points.
An average deviation of zero indicates that the data points are evenly distributed around the mean, with an equal number of positive and negative differences. This means that the data set has little to no variability or spread.