What is Conditional problem solving? Explain with an example.
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Explanation:
Conditional probability is calculated by multiplying the probability of the preceding event by the updated probability of the succeeding, or conditional, event. For example: Event A is that it is raining outside, and it has a 0.3 (30%) chance of raining today.
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Conditional probability is calculated by multiplying the probability of the preceding event by the updated probability of the succeeding, or conditional, event. For example: Event A is that it is raining outside, and it has a 0.3 (30%) chance of raining today.
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