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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MCAR stand for?
💡 Hint: Think about how randomness can affect missing data.
Question 2
Easy
Name one technique to handle missing data.
💡 Hint: This method involves removing data.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does MAR stand for?
- Missing At Random
- Missing All Random
- Missing And Random
💡 Hint: This relates to the characteristics of the recorded data.
Question 2
True or False: Deletion is the only method to handle missing values.
- True
- False
💡 Hint: Consider the diversity in techniques.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset on customer spending habits with missing values labeled as MNAR due to high spending customers dropping out of the survey. How would you handle such missing values?
💡 Hint: Consider approaches that focus on understanding customer behavior.
Question 2
Describe a situation in which using mean imputation might be acceptable and when it would be inappropriate.
💡 Hint: Think about how distributions affect statistical measures.
Challenge and get performance evaluation