STAT 1000Q Lecture Notes - Lecture 7: Conditional Probability, Sample Space

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13 Feb 2019
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Stat 1000q lecture 7 - conditional probability versus independent. The occurrence of one event may affect the probability of an occurrence of another event. The occurrence of a is used to re-calculate the probability of event b: denoted by p(b|a), also known as p of b given a, b = conditional event, a = conditioning event. The outcome is in a all outcomes outside of a = irrelevant. Example: toss a fair die one time. This is sample s, which contains the outcomes {1, 2, 3, 4, 5, 6} Therefore, we only need to consider the parts of b and c that are within a (the parts that intersect with a, denoted b a and c a). This increases the probability of b from to : = When dealing with a sample space other than one that is nite with equally likely outcomes, we use this formula:

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