Here is a sample data set (n=48) that is nearly normal (as can be seen in the histogram provided after the data set).
| 17.9 | 18.6 | 21.8 | 23.2 | 24.9 | 26 | 28.6 | 29.6 |
| 29.9 | 29.9 | 30.1 | 30.3 | 30.3 | 30.8 | 32.7 | 33 |
| 33.8 | 33.8 | 35.2 | 35.2 | 35.2 | 35.2 | 35.8 | 36.2 |
| 36.4 | 37 | 37.4 | 37.7 | 38.1 | 38.5 | 39.2 | 39.4 |
| 39.9 | 41.5 | 41.5 | 42 | 42 | 42.3 | 42.3 | 43.3 |
| 44.8 | 45.3 | 45.7 | 46.2 | 49.6 | 52.1 | 53.6 | 53.6 |
How many outliers are in this data set?
ans =
For this data set, classify anything beyond 2 standard deviations
from the mean as a potential outlier.
Here the mean is
Standard deviation is
Anything beyond 2 standard deviations from the mean is
mean + 2 standard deviation =44.77
mean - 2 standard deviation =28.02
Those values which outside the interval (28.02,44.77) can be treated as an outlier
outliers are 17.6,18.6,21.8,23.2,24.9,26,44.8,45.3,45.7,46.2,49.6,52.1,53.6,53.6
The number of outliers is 14
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