Z-Score Outlier Detection

Data Wrangling

Difficulty: 2 | Problem written by bilaldadanlar
Problem reported in interviews at


One of the univariate outlier detection methods is the Z-normalization score. 

Write a function that receives a 1D NumPy array as input and returns the elements that have a z-score greater than 2.5 or less than -2.5 in the 1D numpy array.

Sample Input:
<class 'numpy.ndarray'>
data: [ 0 40 43 45 47 50 53 195]

Expected Output:
<class 'numpy.ndarray'>

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Input Test Case

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numpy has been already imported as np (import numpy as np)