IBM Tivoli Netcool/Impact V7.1 Implementation — Question 1

When should median value be used instead of mean value for imputing missing data?

Answer options

• A. for skewed data
• B. for real numbers
• C. for normally distributed data
• D. for large data sets

Correct answer: D

Explanation

The median is a better choice for imputing missing values in large data sets because it is less influenced by outliers and skewed distributions compared to the mean. While the median can be useful for skewed data, the question specifically relates to large datasets where outliers may be more prevalent, making the median a more robust choice. Options B and C are not relevant as they do not address the specific scenario of large data sets.