Respuesta :
Answer:
The last one {14,15,16,20,22,25, and 51}
Step-by-step explanation:
This set shows an outlier because 51 is a huge jump from 25 which causes it to be the outlier.
The data set {14,15,16,20,22,25,51} contains an outlier. So, option D is correct.
What is an outlier:
- An outlier is an extreme value in a data set that is either much larger or much smaller than all the other values.
- A data point is an outlier if it is over 1.5 times the IQR below the first quartile [tex](Q_1)[/tex] or 1.5 times the IQR above the third quartile [tex](Q_3)[/tex].
How to calculate an outlier:
- To calculate an outlier for a given data, arrange the data in the ascending order
- Separate the data into two sections or groups
- Find the medians for each group. The median for the first group is said to be the first quartile [tex](Q_1)[/tex] and the median for the second group is said to be the third quartile [tex](Q_3)[/tex]
- Find the difference between them by [tex](Q_3)[/tex] minus [tex](Q_1)[/tex] which is called the interquartile range (IQR).
- Then, if the data points are over 1.5 times the IQR below the first quartile [tex](Q_1)[/tex] or 1.5 times the IQR above the third quartile [tex](Q_3)[/tex] is said to have an outlier.
Calculating the outlier for the given data sets:
Option A:
{30, 31, 31, 32, 34, 37}
There is an even number of data points.
Diving into 2 groups- {30,31,31} and {32,34,37}
So, [tex]Q_1[/tex]=31 and [tex]Q_3[/tex]=34
Then [tex]Q_3[/tex] - [tex]Q_1[/tex]=34-31=3
Then 1.5×3=4.5
[tex]Q_1[/tex]-4.5=31-4.5=26.5
[tex]Q_3[/tex]+4.5=34+4.5=38.5
So, for this data set, there are no outliers either below or above.
Option B:
{11,12,12,12,13,13,14,14}
There is an even number of data points.
Diving into 2 groups- {11,12,12,12} and {13,13,14,14}
So, [tex]Q_1[/tex]=[tex]\frac{12+12}{2}=12[/tex] and [tex]Q_3[/tex]=[tex]\frac{13+14}{2}=13.5[/tex]
Then [tex]Q_3[/tex] - [tex]Q_1[/tex]=13.5-12=1.5
Then 1.5×1.5=2.25
[tex]Q_1[/tex]-2.25=12-2.25=9.75
[tex]Q_3[/tex]+2.25=13.5+2.25=15.75
So, for this data set, there are no outliers either below or above.
Option C:
{6.1,6.8,7.3,8,9.1,9.5}
There is an even number of data points.
Diving into 2 groups- {6.1,6.8,7.3} and {8,9.1,9.5}
So, [tex]Q_1[/tex]=6.8 and [tex]Q_3[/tex]=9.1
Then [tex]Q_3[/tex] - [tex]Q_1[/tex]=9.1-6.8=2.3
Then 1.5×2.3=3.45
[tex]Q_1[/tex]-3.45=6.8-3.45=3.35
[tex]Q_3[/tex]+3.45=9.1+3.45=12.55
So, for this data set, there are no outliers either below or above.
Option D:
{14,15,16,20,22,25,51}
There is an odd number of data points.
Diving into 2 groups- {14,15,16,20} and {20,22,25,51}
So, [tex]Q_1[/tex]=[tex]\frac{15+16}{2}=15.5[/tex] and [tex]Q_3[/tex]=[tex]\frac{22+25}{2}=23.5[/tex]
Then [tex]Q_3[/tex] - [tex]Q_1[/tex]=23.5-15.5=8
Then 1.5×8=12
[tex]Q_1[/tex]-8=15.5-8=3.5
[tex]Q_3[/tex]+8=23.5+8=35.5
In this data set, some values are above the value of 35.5 (35.5<51).
So, this data set is said to have outliers.
Therefore, Option D is correct.
The required data set is {14,15,16,20,22,25,51}.
Learn more about outliers here:
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