Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Joint Distributions Exercise

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Mathematics
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11th - 12th Grade
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Hard
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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the expectation formula for two discrete random variables X and Y?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of the joint PMF for discrete random variables.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the key differences between discrete and continuous random variables in the context of expectation?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How can the expectation formula for discrete distributions be adapted for continuous distributions?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of replacing summations with integrals when moving from discrete to continuous distributions.
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