#reading-9-probability-concepts
When two random variables are independent, the joint probability function is the product of the individual probability functions of the random variables.
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Summary Rj) .
The calculation of covariance in a forward-looking sense requires the specification of a joint probability function, which gives the probability of joint occurrences of values of the two random variables.
<span>When two random variables 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.
Bayes’ formula is expressed as follows: Updated probability of event give Summary
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