Practice Causal Inference Techniques - 10.2 | 10. Causality & Domain Adaptation | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of Randomized Controlled Trials?

πŸ’‘ Hint: Think about how randomization helps in experimental studies.

Question 2

Easy

What is the difference between RCTs and observational studies?

πŸ’‘ Hint: Consider the methods used in each type of study.

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 technique is considered the gold standard for causal inference?

  • Observational Studies
  • Randomized Controlled Trials
  • Propensity Score Matching

πŸ’‘ Hint: Remember which study type allows for better control over variables.

Question 2

True or False: Observational studies can provide unbiased estimates of causal effects.

  • True
  • False

πŸ’‘ Hint: Consider the challenges faced when randomization is not applied.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an RCT to test the efficacy of a new cognitive therapy technique for depression. Outline key steps, including participant selection and how to ensure randomization.

πŸ’‘ Hint: Think through how to minimize bias and control variables in your design.

Question 2

Given a dataset on smoking rates and lung cancer incidences, discuss how you would identify and reduce confounding variables to improve causal inference.

πŸ’‘ Hint: Identify all potential confounding factors that could skew the relationship being studied.

Challenge and get performance evaluation