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Missing Data Imputation Quiz

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1. Which of the following methods can introduce least bias when imputing missing data?

2. In the context of imputing missing data, what does KNN stand for?

3. Which statement is true regarding the treatment of missing data?

4. What does the term 'missing at random' (MAR) signify in missing data analysis?

5. What is a potential drawback of mean imputation for missing data?

6. Which of the following is NOT a common method for handling missing data?

7. How does multiple imputation differ from single imputation?

8. When is 'hot deck imputation' particularly useful?

9. What is the main advantage of regression imputation over mean imputation?

10. Why is understanding the mechanism behind missing data important in imputation?