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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does Bayes' Theorem help you update?
💡 Hint: Think about how new information affects your predictions.
Question 2
Easy
Define prior probability.
💡 Hint: What was your initial belief before learning new information?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Bayes' Theorem allow us to do?
💡 Hint: Consider what this theorem is used for in real-life situations.
Question 2
True or False: The prior probability is adjusted after receiving new evidence.
💡 Hint: Recall what prior means and when it is set.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
In a study, a certain disease has a prevalence of 2% in the population. If a test for the disease has a true positive rate of 85% and a false positive rate of 10%, calculate the probability that a person who tests positive actually has the disease.
💡 Hint: Break it down step-by-step and remember to calculate overall testing probability.
Question 2
A new drug shows a positive effect in 90% of patients with a certain condition, but only in 5% of healthy patients. If 10% of the population has the condition, calculate the probability that someone who responds positively to the drug actually has the condition.
💡 Hint: Ensure to track the overall probability via the entire population.
Challenge and get performance evaluation