When analyzing data, we often want to know how "spread out" the data is. In other words, how far away are the data points from the center?
One way to represent the spread of the data is to use the mean absolute deviation (MAD) of the data. To compute the mean absolute deviation, we
compute the mean of the data,
subtract the mean from each number in the data set, find the absolute value of the results, and add all these together, then
divide the sum by the total number of data points.
To demonstrate, let's compute the mean absolute deviation of the data set below:
First, we find the mean of the data:
Next, we subtract the mean from each number in the data set, find the absolute value of the results, and add all these together:
Finally, to calculate the mean absolute deviation (MAD), we divide the sum obtained above () by the total number of data points ():
Therefore, the mean absolute deviation is
Given that the mean of the data set below is , what is the mean absolute deviation of the data?
We are given that the mean is
So, we subtract the mean from each number in the data set, find the absolute values of the results, and add all these together:
Finally, to calculate the mean absolute deviation (MAD), we divide the sum obtained above () by the total number of data points ():
Given that the mean of the data set below is $3$, what is the mean absolute deviation of the data?
\[ 1, \: 3, \: 2, \: 8, \: 1 \]
a
|
$0.6$ |
b
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$2$ |
c
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$1.8$ |
d
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$3$ |
e
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$1$ |
Given that the mean of the data set below is $8.4$, what is the mean absolute deviation of the data?
\[ 4, \: 12, \: 6, \: 13, \: 7 \]
a
|
$4.28$ |
b
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$3.28$ |
c
|
$3.3$ |
d
|
$4.3$ |
e
|
$3$ |
Find the mean absolute deviation of the data set below.
First, we find the mean of the data:
Next, we subtract the mean from each number in the data set, find the absolute values of the results, and add all these together:
Finally, to calculate the mean absolute deviation (MAD), we divide the sum obtained above () by the total number of data points ():
\[ 6, \: 3, \: 10, \: 5 \] The mean absolute deviation of the data set above is
a
|
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b
|
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c
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d
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e
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Find the mean absolute deviation of the data set below. \[ 4, \: 1, \: 2, \: 8, \: 5 \]
a
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$5$ |
b
|
$2.2$ |
c
|
$2$ |
d
|
$1.5$ |
e
|
$2.5$ |
The total times of five racers during a Grand Prix were: Rounded to one decimal place, what is the mean absolute deviation of the times?
First, we find the mean of the data:
Next, we subtract the mean from each number in the data set, find the absolute values of the results, and add all these together:
Finally, to calculate the mean absolute deviation (MAD), we divide the sum obtained above () by the total number of data points ():
Rounding to the nearest tenth gives:
Therefore, the mean absolute deviation of the times of the racers is minutes.
A farmer has four tanks whose capacities are as follows: \[ 21 \,\text{liters}, \quad 23 \,\text{liters}, \quad 25 \,\text{liters}, \quad 29 \,\text{liters} \] What is the mean absolute deviation of tanks' capacities?
a
|
$2.2$ liters |
b
|
$2.5$ liters |
c
|
$1.6$ liters |
d
|
$1.5$ liters |
e
|
$2.3$ liters |
Michael has five brothers whose ages are as follows: \[ 7 \,\text{years}, \quad 3 \,\text{years}, \quad 5 \,\text{years}, \quad 6 \,\text{years}, \quad 2 \,\text{years} \] Rounded to one decimal place, what is the mean absolute deviation of Michael's brothers' ages?
a
|
$1.7$ years |
b
|
$1.9$ years |
c
|
$2.2$ years |
d
|
$2.5$ years |
e
|
$1.5$ years |