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Out of these 6 times the result that is an outlier is 0.20.
Looking at the data set, 2.0 is an outlier due to the fact that every other data point is much more closer in range than 2.0
In statistics we refer to an outlier as a value that is very much situated away from the other data in a set.
This value is different from all the other values in a random sample of data.
Therefore we conclude that 2.0 has to be rejected at a 95% confidence level.
Read more on outliers on:
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