DA0-002 Data Acquisition and Preparation Practice Question
During EDA, an analyst calculates the Z-score for each data point in a dataset. A data point with a Z-score of 3.5 is identified. What does this indicate?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The data point is likely an outlier
A Z-score of 3.5 means the value is 3.5 standard deviations from the mean, commonly considered an outlier (threshold often >3 or <-3).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The data point has a high frequency
Why it's wrong here
Z-score does not indicate frequency.
- ✗
The data point is exactly at the mean
Why it's wrong here
A Z-score of 0 indicates the mean.
- ✓
The data point is likely an outlier
Why this is correct
A Z-score above 3 or below -3 is often considered an outlier.
- ✗
The data point is within the interquartile range
Why it's wrong here
Z-score does not relate to IQR directly.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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