median imputation

What are the Limitations of Median Imputation?

- Loss of variability: Replacing missing values with a single value (the median) can reduce data variability, potentially leading to biased results.
- Not suitable for all data types: Median imputation is not appropriate for categorical data or for variables with a high percentage of missing values.
- Potential bias: While it reduces the impact of outliers, it may still introduce bias if the missing data is not randomly distributed.

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