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#reading-9-probability-concepts

Bayes’ formula is expressed as follows: Updated probability of event given the new information = [(Probability of the new information given event)/(Unconditional probability of the new information)] × Prior probability of event.

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**Summary **

es are independent, the joint probability function is the product of the individual probability functions of the random variables. Bayes’ formula is a method for updating probabilities based on new information. <span>Bayes’ formula is expressed as follows: Updated probability of event given the new information = [(Probability of the new information given event)/(Unconditional probability of the new information)] × Prior probability of event. The multiplication rule of counting says, for example, that if the first step in a process can be done in 10 ways, the second step, given the first, can be done in 5 way

es are independent, the joint probability function is the product of the individual probability functions of the random variables. Bayes’ formula is a method for updating probabilities based on new information. <span>Bayes’ formula is expressed as follows: Updated probability of event given the new information = [(Probability of the new information given event)/(Unconditional probability of the new information)] × Prior probability of event. The multiplication rule of counting says, for example, that if the first step in a process can be done in 10 ways, the second step, given the first, can be done in 5 way

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last reprioritisation on | suggested re-reading day | |||

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