Using Multiple Imputation to Complete and Analyze a Dataset

A telecommunications provider wants to better understand service usage patterns in its customer database. They have complete data for services used by their customers, but the demographic information collected by the company has a number of missing values. Moreover, these values are not missing completely at random, so multiple imputation will be used to complete the dataset.

A random sample from the customer database is contained in telco_missing.sav. See the topic Sample Files for more information.

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