When data points are not missing at random (NMAR):
A) missing values cannot be predicted or imputed
B) missingness is explained by one or more variables in the dataset
C) more options are available than when data are missing at random (MAR)
D) missingness depends on an unmeasured or unobserved variable
E) None of the above

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The Answer of When data points are not missing at random (NMAR):
A) missing values cannot be predicted or imputed
B) missingness is explained by one or more variables in the dataset
C) more options are available than when data are missing at random (MAR)
D) missingness depends on an unmeasured or unobserved variable
E) None of the above

When Data Points Are Not Missing at Random (NMAR)