Which of the following is the best reason for removing data outliers?

The correct answer is A. Data varies significantly from others. Outliers are data points that deviate significantly from the rest of the dataset. The best reason to remove them is that they can distort statistical measures like averages, standard deviations, and regression models, leading to inaccurate insights. The other options describe…

Data Governance, Quality, and Controls

Question

Options

AData varies significantly from others.
BData is redundant in the table.
CData is duplicated in the whole range.
DData is missing from the table.

How the community answered

(31 responses)

A
87% (27)
B
3% (1)
C
6% (2)
D
3% (1)

Explanation

Outliers are data points that deviate significantly from the rest of the dataset. The best reason to remove them is that they can distort statistical measures like averages, standard deviations, and regression models, leading to inaccurate insights. The other options describe different data quality issues: redundant data refers to unnecessary repeated information, duplicates are exact repeated records, and missing data refers to null or empty values. Only answer A correctly defines an outlier - data that varies significantly from others.

Topics

#Outliers#Data Cleaning#Data Preprocessing#Data Quality

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