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Understanding Conditional Independence: A Quiz on Exam Versions A & B

This quiz focuses on the concept of conditional independence within the context of two versions of an exam. Each version includes statements related to conditional independence, particularly in the context of probabilistic models like Naïve Bayes classifiers. Participants will determine the truth of various assertions regarding the relationship between variables A and B, and how they are influenced by conditional dependencies, ensuring a foundational understanding of these critical statistical concepts.

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Understanding Conditional Independence: A Quiz on Exam Versions A & B

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Presentation Transcript

  1. Quiz 9 Chapter 13 Note the two versions A & B Nov.302010

  2. Exam A: 1. a) True b) False Exam B: 1. a) True, b) False

  3. Exam A: 2. a) True, b) False Exam B: 2. a) True, b) False Implies that A is independent of B.

  4. Exam A: 3. a) True, b) False Exam B: 3. a) True, b) False Implies that A is independent of B.

  5. Exam A: 4. Variables X and Y are conditionally independent given E iff: a) True b) False Exam B: 4. In a “Naïve Bayes” classifier we assume that the diseases are conditionally independent given the symptoms. a) True, b) False

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