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Q: What is the mean absolute deviation of 2 3 5 4 9 4 3?

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You find the mean, and find the mean of the mean.Mean=5Data set: 1 2 3 5 6 9 9Calculate how far away the other numbers are from the meanNew data set from doing above: 4 3 2 0 1 4 4Find the mean of that data set.Mean absolute deviation= 2.6

Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.

5

From the online calculator, see related link, the standard deviation is 4.06202.

The standard deviation of 2 3 5 6 = 1.8257

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Mean is 3.8 Mean Absolute Deviation is 1.44

no

It is 1.8

* * * * *No it is not.Step 1: Calculate the mean = sum of observations/number of observations.Step 2: For each observation, x, calculate deviation = x - mean.Step 3: Sum together the NON_NEGATIVE values of the above deviations.Step 4: Divide by the number of observations.That is the mean absolute deviation, not the rubbish given below!

The Mean Absolute Deviation is calculated in three simple steps.1) Determine the Mean: Add all numbers and divide by the countexample: the weights of the following three people, denoted by letters areA - 56 KgsB - 78 KgsC - 90 KgsMean = (56+78+90)/3= 74.62) Determine deviation of each variable from the Meani.e 56-74.6 = -18.6778-74.6= 3.3390-74.6 =15.333) Make the deviation 'absolute' by squaring and determining the roots i.e eliminate the negative aspectThus the Mean Absolute Deviation is (18.67 +3.33+15.33)/3 =12.44Alternatively , you can use the excel formula =AVEDEV(56,78,90) to obtain the result.Different MethodsThere are different formulas for the calculation of mean absolute deviation. For example mean absolute deviation from mean and mean absolute deviation from median. Similarly the formulas for grouped and ungrouped data are also different. In order to see the calculation of mean absolute deviation from mean and mean absolute deviation from median for both grouped and ungrouped data please visit the link given below.Let's consider the sample {2, 2, 3, 4, 14}.First of all you must decide, what am I calculating the mean absolute deviation from? Will it be the mean, the mode or the median? (It could be any measure of what statisticians call 'location' or 'central tendency'.)For no good reason except that it's familiar to most people let me choose the mean of the sample. It proves to be 5.Now we need the absolute deviation of each sample element from the mean. Notice that these are the distances between the mean and the sample elements.|2 - 5| = |-3| = 3|2 - 5| = |-3| = 3|3 - 5| = |-2| = 2|4 - 5| = |-1| = 1|14 - 5| = |9| = 9The sum of these is 18; then their average is 18/5 = 3.6. So the mean absolute deviation (from the mean) is 3.6. In other words, the sample points are, on average 3.6 units from the mean.For more information visit the Related Links.

mean | 30 median | 18 standard deviation | 35.496

You find the mean, and find the mean of the mean.Mean=5Data set: 1 2 3 5 6 9 9Calculate how far away the other numbers are from the meanNew data set from doing above: 4 3 2 0 1 4 4Find the mean of that data set.Mean absolute deviation= 2.6

Step 1: Find the mean Step 2: Find the deviation from the mean Step 3: Take the absolute value of the deviation Step 4: Find the mean of the absolute deviation. x----x-mean 63 63-63 0 69 69-63 6 62 62-63 -1 57 57-63 -6 64 64-63 1 mean = (63+69+62+57+64)/5 = 63 Taking the absolute deviations, we have 0,6,1,6,1 Averaging these deviations : (0+6+1+6+1)/5 =14/5 = 2.8 Mean absolute deviation = 2.8

Each number is 3 times greater than the previous number

There is 1) standard deviation, 2) mean deviation and 3) mean absolute deviation. The standard deviation is calculated most of the time. If our objective is to estimate the variance of the overall population from a representative random sample, then it has been shown theoretically that the standard deviation is the best estimate (most efficient). The mean deviation is calculated by first calculating the mean of the data and then calculating the deviation (value - mean) for each value. If we then sum these deviations, we calculate the mean deviation which will always be zero. So this statistic has little value. The individual deviations may however be of interest. See related link. To obtain the means absolute deviation (MAD), we sum the absolute value of the individual deviations. We will obtain a value that is similar to the standard deviation, a measure of dispersal of the data values. The MAD may be transformed to a standard deviation, if the distribution is known. The MAD has been shown to be less efficient in estimating the standard deviation, but a more robust estimator (not as influenced by erroneous data) as the standard deviation. See related link. Most of the time we use the standard deviation to provide the best estimate of the variance of the population.

3.5* * * * *The mean deviation of ANY set of numbers must always be zero.

Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.

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