DA0-001 · Question #224
Which of the following BEST defines a data outlier?
The correct answer is C. A datapoint that differs significantly from other observations. A data outlier is a data point that deviates significantly from the general pattern or other observations in a dataset, suggesting it might be an anomaly or error. Its extreme value makes it stand out from the majority of the data.
Question
Which of the following BEST defines a data outlier?
Options
- AA datapoint that is significantly close to the trend line
- BA datapoint that has the highest significant number of observations
- CA datapoint that differs significantly from other observations
- DA datapoint that is above the trend line
How the community answered
(41 responses)- A5% (2)
- B5% (2)
- C88% (36)
- D2% (1)
Why each option
A data outlier is a data point that deviates significantly from the general pattern or other observations in a dataset, suggesting it might be an anomaly or error. Its extreme value makes it stand out from the majority of the data.
A datapoint significantly close to the trend line indicates a strong fit or relationship within the data, which is the opposite of an outlier.
A datapoint with the highest significant number of observations would be a mode or a high-frequency value, not an outlier, which is characterized by its unusualness.
An outlier is an observation point that is distant from other observations, differing significantly from the bulk of the data. Outliers can indicate variability in a measurement, experimental errors, or a novelty, and they often warrant special attention in data analysis.
A datapoint being above the trend line merely indicates its position relative to the trend, not necessarily that it is an outlier; it could still be well within the expected range of variation.
Concept tested: Data quality - identifying outliers
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