DA0-002 Data Analysis Practice Question
A data analyst needs to identify outliers in a dataset. Which of the following is a common method based on the interquartile range (IQR)?
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
A common rule is to consider any data point below Q1 - 1.5*IQR or above Q3 + 1.5*IQR as an outlier.
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 more than 2 standard deviations from the mean
Why it's wrong here
That is a method using standard deviation, not IQR.
- ✗
Values that are negative
Why it's wrong here
Not a general outlier rule.
- ✓
Values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR
Why this is correct
Correct: IQR method.
- ✗
Values below the 5th percentile or above the 95th percentile
Why it's wrong here
Percentile method is also used, but the IQR method is specifically based on Q1 and Q3.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.