DA0-002 Data Acquisition and Preparation Practice Question
An analyst wants to identify outliers in a dataset using the IQR method. Which values are typically considered outliers?
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
✓
Values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR
Outliers are values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Values below the mean or above the mean
Why it's wrong here
Mean-based threshold is not the IQR method.
- ✗
Values below Q1 - IQR or above Q3 + IQR
Why it's wrong here
IQR without 1.5 multiplier is not standard.
- ✗
Values below Q2 - 2*IQR or above Q2 + 2*IQR
Why it's wrong here
Q2 is median; incorrect formula.
- ✓
Values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR
Why this is correct
Standard IQR outlier definition.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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