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12.8. PMF vs PDF vs CDF
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Mixed questions from across the chapter. Your answers get marked.
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2 cards from this lesson. Good the night before a test.
Try these first
- 1.
What does PMF stand for?
Hint
Think about its role in discrete variables.
- 2.
Give one example of a discrete random variable.
Hint
Recall earlier examples given in class.
- 3.
What type of random variable does PMF apply to?
- Continuous
- Discrete
- Both
Hint
Recall earlier segments discussing functions.
- 4.
True or False: CDF can only be used for discrete random variables.
- True
- False
Hint
Consider the cumulative nature of CDF.
- 5.
If you roll two dice, construct the PMF for the total rolled value. What are the probabilities for all outcomes from 2 to 12?
Hint
Consider how many ways each total can be achieved.
- 6.
Given a continuous random variable with a known PDF function, calculate the probability that it falls between two values.
Hint
Engage with concepts of area under the curve.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
1 more question available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting