Missing Data Imputation:
“Imputing missing data” is a process by which the missing values in a data set are estimated from the remaining data, for the purpose of allowing statistical procedures to be performed on a complete data set. (Most statistical procedures fail if some values in a data set are missing; so the purpose of estimating the missing values is simply to get around this problem.)
See the statistics.com course “Missing Data Analysis”
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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