What are the three main axioms of probability?
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Axioms
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The video tutorial covers the three main axioms of probability: non-negativity, additivity, and the probability of the sample space being one. It explains how these axioms form the foundation for understanding probability, using examples like rolling a fair die to illustrate concepts. The tutorial also discusses the probability range between 0 and 1, and derives properties such as the probability of an empty set being zero.
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1.
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3 mins • 1 pt
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2.
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3 mins • 1 pt
Explain the first axiom of probability.
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3.
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3 mins • 1 pt
What does the axiom of additivity state?
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4.
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3 mins • 1 pt
How can the axiom of additivity be extended to several events?
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5.
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3 mins • 1 pt
How does the concept of mutually exclusive events relate to probability?
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6.
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3 mins • 1 pt
What is the probability of the sample space?
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7.
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3 mins • 1 pt
Describe how to calculate the probability of an event using the axioms.
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