Instead of considering a data value to be an outlier if it is "very far away from almost all of the other data values," consider an outlier to be a value that is above
Upper Q 3Q3
by an amount greater than
1.5times×IQR
or below
Upper Q 1Q1
by an amount greater than
1.5times×IQR.
Use the data set given below to find (a) the 5-number summary, (b) the interquartile range (IQR), and (c) any outliers.
33
44
55
66
77
1010
1313
1414
1414
1818
2222
3535
5050
(a)
Statistical file:
{33, 44, 55, 66, 77, 1010, 1313, 1414, 1414, 1818, 2222, 3535,
5050}
Minimum: 33
Quartile Q1: 60.5
Median: 1313
Quartile Q3: 2020
Maximum: 5050
(b)
IQR=Q3-Q1
=2020-60.5
=1959.5
(c)
outliers= 5050
Instead of considering a data value to be an outlier if it is "very far away...
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a,b,c
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6).
a.b.
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