Practice Cumulative Distribution Function (cdf) (13.1.4)

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9 questions

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6 sample questions

Question 1.
What does the CDF represent?
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Think about what kind of probability it describes.
Question 2.
What is one property of a CDF?
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Consider how the probability changes as the value increases.
3Question 3.
What is the cumulative distribution function?
- A function for discrete variables
- A function defining cumulative probabilities
- A random variable
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Recall what cumulative means.
4Question 4.
True or False: The CDF at positive infinity equals 1.
- True
- False
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Think about certainty in probabilities.
Question 5.
Given a continuous random variable with a PDF of f(x) = 2x for 0 ≤ x ≤ 1, determine the CDF and graph it.
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Use the fundamental theorem of calculus for integration.
Question 6.
Explain how CDFs can assist in decision-making within risk management frameworks.
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Consider how probabilities directly inform decisions.

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