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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does PMF stand for?
π‘ Hint: Think about the type of probability it deals with.
Question 2
Easy
True or False: The CDF gives probabilities for discrete outcomes only.
π‘ Hint: Consider the definitions of PMF and CDF.
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 the PMF provide?
π‘ Hint: Remember the definition of PMF.
Question 2
Is the following statement True or False? The CDF is used to find the probability of discrete outcomes.
π‘ Hint: Think of what CDF does.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Suppose a discrete random variable has a PMF given as P(X=1) = 0.1, P(X=2) = 0.2, P(X=3) = 0.4, and P(X=4) = 0.3. Construct the corresponding CDF and explain the interpretation.
π‘ Hint: Add the PMF probabilities cumulatively to form the CDF.
Question 2
Consider a scenario where the CDF of a random variable is defined piecewise. Describe how this affects the PMF.
π‘ Hint: Analyze the areas where the CDF changes values.
Challenge and get performance evaluation