If VAR1 has 5 missing, VAR2 has 5 missing, and VAR3 has 10 ...

[Anajune7]

If VAR1 has 5 missing, VAR2 has 5 missing, and VAR3 has 10 missing, which of the following is true?
 
  a. 90 of the participants have no missing values on VAR1 to VAR3
  b. 85 of the participants have no missing values on VAR1 to VAR3
  c. Between 80 and 90 of the participants have no missing values on VAR1 to VAR3
  d. The amount of nonmissingness on VAR1 to VAR3 for participants cannot be determined.

Question 2

In multiple imputation, m represents:
 
  a. The number of variables being imputed
  b. The number of predictors used in the imputation
  c. The number of datasets that are created
  d. The number of cases with missing values

[kxciann]

Answer to Question 1

C

Answer to Question 2

C

[Anajune7]

Excellent

[ryhom]

Gracias!