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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the difference between correlation and causation?
💡 Hint: Consider if one variable influences the outcome of another.
Question 2
Easy
What do DAGs stand for?
💡 Hint: Think about the type of graph that limits circular relationships.
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 is the main distinction between correlation and causation?
- Correlation implies causation.
- Causation implies correlation.
- They are the same.
💡 Hint: Think about examples where two things occur together but might not impact each other.
Question 2
True or False: Directed Acyclic Graphs can have cycles.
- True
- False
💡 Hint: Consider the definition of 'acyclic'.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a dataset where increased sugary drink consumption correlates with higher diabetes rates. Assess whether this indicates causation or mere correlation and justify your reasoning.
💡 Hint: Think of other lifestyle factors that could interplay with consumption.
Question 2
You are studying a health-related dataset that contains variables of age, weight, and daily exercise along with diabetes occurrence. How might you apply causal inference methods to estimate the effect of exercise on diabetes risk, considering potential confounders?
💡 Hint: Consider how you would control for confounding variables in your analysis.
Challenge and get performance evaluation