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Q: How do you calculate average deviation?

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The standard deviation (?, pronounced sigma) of a set of values is a measure of how much the set of values deviates from the average of the values. To calculate ? of a complete set of values (as opposed to a sampling),...Calculate the average of the set (the sum of the values divided by the quantity of the values).Calculate the difference between each value and the average calculated in step 1, then square the difference.Calculate the average of all the squares calculated in step 2.The standard deviation is the square root of the average calculated in step 3.

No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.

here is the formula modulation index=peak freq deviation/operating freq. frm this we can calculate freq dev

You cannot because the standard deviation is not related to the median.

Deviation, actually called "standard deviation" is, in a set of numbers, the average distance a number in that set is away from the mean, or average, number.

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

You don't need to. Average deviation (about the mean) is always zero!

attiq

There is no single function in Excel.You calculate the mean (average).For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean (average) of these absolute deviations.

we calculate standard deviation to find the avg of the difference of all values from mean.,

You calculate the mean.For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean of these absolute deviations.

Because the average deviation will always be zero.

The standard deviation (?, pronounced sigma) of a set of values is a measure of how much the set of values deviates from the average of the values. To calculate ? of a complete set of values (as opposed to a sampling),...Calculate the average of the set (the sum of the values divided by the quantity of the values).Calculate the difference between each value and the average calculated in step 1, then square the difference.Calculate the average of all the squares calculated in step 2.The standard deviation is the square root of the average calculated in step 3.

deviation 15 is better

27

Square the standard deviation and you will have the variance.

The average deviation is always 0.

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