Imputing values is valid only if the variable values are We may replace missing values with the variable's mode, mean, or median, but only if the variable values are
A)not missing at random (MNAR).
B)missing at random (MAR).
C)missing completely at random (MCAR).
D)Classification and Regression Trees (CART).

Question

Imputing values is valid only if the variable values are We may replace missing values with the variable's mode, mean, or median, but only if the variable values are
A)not missing at random (MNAR).
B)​missing at random (MAR).
C)missing completely at random (MCAR).
D)Classification and Regression Trees (CART).

Quizplus · Accepted Answer

Missing completely at random (MCAR) means that the missing values are not related to any other variables in the dataset. This means that we can safely replace the missing values with the variable's mode, mean, or median.

Imputing Values Is Valid Only If the Variable Values Are