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The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:

- Find the mean (average) value for the set of data. Call it M.
- For each observation, O, calculate the deviation, which is O - M.
- The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.
- Calculate the average of all the absolute deviations.

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:

- Find the mean (average) value for the set of data. Call it M.
- For each observation, O, calculate the deviation, which is O - M.
- The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.
- Calculate the average of all the absolute deviations.

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:

- Find the mean (average) value for the set of data. Call it M.
- For each observation, O, calculate the deviation, which is O - M.
- The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.
- Calculate the average of all the absolute deviations.

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:

- Find the mean (average) value for the set of data. Call it M.
- For each observation, O, calculate the deviation, which is O - M.
- Calculate the average of all the absolute deviations.

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The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:

- Find the mean (average) value for the set of data. Call it M.
- For each observation, O, calculate the deviation, which is O - M.
- Calculate the average of all the absolute deviations.

Q: What does Mean Absolute Deviation mean?

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Mean Absolute Deviation

The mean absolute deviation is 5

If I have understood the question correctly, despite your challenging spelling, the standard deviation is the square root of the average of the squared deviations while the mean absolute deviation is the average of the deviation. One consequence of this difference is that a large deviation affects the standard deviation more than it affects the mean absolute deviation.

It is the mean absolute deviation.

Absolute deviation from what?

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None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0

Mean Absolute Deviation

The mean absolute deviation of this problem is 6.

no the standard deviation is not equal to mean of absolute distance from the mean

The mean absolute deviation is 28.5

interquartile range or mean absolute deviation.

The range and mean absolute deviation are: Range = 29 Mean absolute deviation = 8.8

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.

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.

The Mean Absolute Deviation indicates how clustered (close together) the data is, i also indicates the average of the distance of the values and the mean.

The mean deviation of any set of numbers is always zero and so the absolute mean deviation is also always zero.

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