What is the criteria for discarding a data point which you feel may be an untrustworthy...

What is the criteria for discarding a data point which you feel may be an untrustworthy outlier?

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Expert Solution

Here' the answer to the question. Please let me know in case you've answers.

Criteria for discarding that you may conisider an untrustworthy outlier:

1. Outliers with considerable leavarage can indicate a problem with the measurement or the data recording, communication or whatever. In *such* cases it is absolutely recommended to remove these values.

2. Reasons external to the data should also be considered for removing outlier. For example, weight of a person is 1000kg, which is impossible hence this outlier is untrustworthy. Another example can be a human' height of 450 cm , which is again an impossible value for a height of person. In both case we would have removed these outliers from our data set.

3. Other analytical method to discard the outlier is to remove from a range. The range is basically defined by the formula: Q1-1.5*IQR to Q3 + 1.5*IQR, where Inter Quartile Range , IQR = Q3-Q1

Otherwise another definition of outlier can be upper 2.5% and lower 2.5% of the values.

orchestra answered 1 year ago

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