The process of mean imputation involves a few straightforward steps:
Identify the variables with missing data. Calculate the mean value of the observed data for each variable. Replace the missing values with the calculated mean.
For example, if you are analyzing patient blood pressure readings and some values are missing, you would calculate the mean blood pressure from the available readings and use this mean to fill in the missing values.