DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is performing exploratory data analysis on a dataset containing house prices. They want to identify outliers in the 'price' column using the IQR method. The first quartile (Q1) is $200,000, the third quartile (Q3) is $350,000, and the IQR is $150,000. What is the upper bound for identifying 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
✓
$575,000
The IQR method defines outliers as values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR. Upper bound = 350,000 + (1.5 * 150,000) = 350,000 + 225,000 = $575,000.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
$500,000
Why it's wrong here
Incorrect calculation.
- ✓
$575,000
Why this is correct
Correct upper bound.
- ✗
$425,000
Why it's wrong here
This is Q3 + 0.5*IQR, not the correct multiplier.
- ✗
$650,000
Why it's wrong here
Incorrect calculation.
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