An analyst is preparing a customer survey dataset of 10,000 records for a satisfaction analysis. The 'annual_income' column is missing in about 4% of records, and these missing values appear randomly across all customer segments. The income figures are roughly symmetric with no extreme outliers. Management requires that the full sample size be preserved for statistical power. What is the most appropriate way to handle the missing income values?