Definition:
The definition of conditional probability in equation can be rewritten to provide a general expression for the probability of the intersection of two events. This formula is referred to as a multiplication rule for probabilities.
\[P\left(
A\cap B \right)\text{ }=\text{ }P\left( \frac{B}{A} \right)P\left( A
\right)\text{ }=\text{ }P\left( \frac{A}{B} \right)P\left( B \right)\]
The last expression in above Equation is obtained by interchanging $A$ and $B$.
Example:
The probability that an automobile battery subject to high engine compartment temperature suffers low charging current is $0.7$. The probability that a battery is subject to high engine compartment temperature is $0.05$.
Let $C$ denote the event that a battery suffers low charging current, and let $T$ denote the event that a battery is subject to high engine compartment temperature. The probability that a battery is subject to low charging current and high engine compartment temperature is
\[P\left(
C\cap T \right)\text{ }=\text{ }P\left( \frac{C}{T} \right)P\left( T
\right)\text{ }=\text{ }0.7\text{ }\times \text{ }0.05\text{ }=\text{ }0.035\]
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