Which method of data imputation is generally most appropriate for MCAR data?
- Mean/Median imputation
- Prediction model
- Random Sample Imputation
- nan
For MCAR data, Random Sample Imputation is a good choice as it assumes that the data are missing completely at random. It works by taking random observations from the dataset and using these to replace the missing values.
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