There are zero number of outliers in data set.
What are [tex]1.5[/tex] IQR rule for outliers ?
The [tex]1.5[/tex] IQR rule for outliers says that any data point below [tex]Q_{1} -1.5\ IQR[/tex] is a low outlier. or lower than this are a low outliers.
And,
[tex]IQR=Q_{3} -Q_{1}[/tex]
We have,
[tex]Q_{1}= 275[/tex]
[tex]Q_{3} = 933[/tex]
Minimum [tex]= 1[/tex]
Maximum [tex]= 2596[/tex]
Median [tex]= 533[/tex]
Now,
[tex]IQR=Q_{3} -Q_{1}[/tex]
IQR [tex]=933-275=658[/tex]
So,
[tex]Q_{1} -1.5\ IQR[/tex]
[tex]=275-1.5*658[/tex]
[tex]=-712[/tex]
So, any data point lower than this is the low outlier.
As we see the given histogram, there is no point below this outlier so, in the given histogram there is no low outlier.
Hence, we can say that here are zero number of outliers in data set.
To know more about IQR rule for outliers click here
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