The best way to handle missing data is:
A)to assign a coded value to it.
B)to substitute the missing values with the median of the variable.
C)to leave the data space blank for missing data.
D)to substitute the missing values with the mean of the variable.
E)to check on how your data analysis software will handle missing data and then determine a course of action.

Question

Quizplus · Accepted Answer

The best way to handle missing data depends on various factors such as the amount of missing data, the reason for missing data, the relationship between missing data and other variables in the dataset, etc. Therefore, it is best to check how your specific data analysis software handles missing data and then determine the best course of action based on the analysis you want to perform. It is important to note that assigning coded values or substituting missing data with the median or mean can introduce bias in the analysis, and leaving the data space blank may affect the analysis depending on how the software handles missing data.

The Best Way to Handle Missing Data Is