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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the non-negativity property mean?
π‘ Hint: Think about if you can have a negative chance of an event happening.
Question 2
Easy
Why is normalization important in PMFs?
π‘ Hint: Recall PMF like a cup; it must be full!
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 is the property that ensures probabilities are not negative in a PMF?
π‘ Hint: This property safeguards the logical foundation of probability.
Question 2
Is a PMF valid if the total probabilities sum to more than 1?
π‘ Hint: Revisit the 'full cup of probability' analogy.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Consider a scenario where a random variable X represents the number of correct answers from a multiple-choice exam with 3 questions (each question has 4 choices). Construct a PMF for X.
π‘ Hint: Identify the variable outcomes and apply the binomial distribution.
Question 2
Why might we prefer using a PMF over a PDF when analyzing data involving customer choices (like size selections: small, medium, large)?
π‘ Hint: Think about the nature of customer choices and their specific outcomes.
Challenge and get performance evaluation