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How do you calculate mean average deviation?

The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.


How do you compute mean deviation?

You don't need to. The mean deviation is, by definition, zero.


How do you calculate average deviation?

Simple! The average deviation for any data set is zero - by definition.


What is the definition of standard deviation?

Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.


Is the standard deviation dependent on the mean?

Yes. Consider the definition of the standard deviation. It is the square root of the variance from the mean. As a result, it can be said that the standard deviation is dependent on the mean.


Is mean absolute deviation and average deviation are the same?

No. Mean absolute deviation is usually greater than 0. It is 0 only if all the values are exactly the same - in which case there is no point in calculating a deviation! The average deviation is always (by definition) = 0


Can standard deviation be a negative?

No. Standard deviation is the square root of a non-negative number (the variance) and as such has to be at least zero. Please see the related links for a definition of standard deviation and some examples.


What is the definition of Standard deviation of a single measurement?

The standard deviation of a single observation is not defined. With a single observation, the mean of the observation(s) would be the same as the value of the observation itself. By definition, therefore, the deviation (difference between observation and mean) would always be zero. Rather a pointless exercise!


What is the definition of cloudburst?

a sudden and very heavy rainfall.


What is the definition of arid?

dry and lacking rainfall necessary for farming


What is the correct definition of the angle of deviation?

it is the angle between the direction of the incident ray and the refracted ray.


Definition of guarantee error in instrumentation?

Deviation of the measured value from the true value of the variable being measured