15
Nov
Probability Of Independent Events. The formula in the definition has two practical but exactly opposite uses. Suppose if we draw two cards from a pack of cards one after the other. If the probability of occurrence of an event A is not affected by the occurrence of another event B then A and B are said to be independent events. You flip a coin and get a head and you flip a second coin and get a tail.
For example if the probability of event A is 29 and the probability of event B is 39 then the probability of both events happening at. The outcome of the first roll does not affect the outcome of the second roll. The two coins dont influence each other. Consider an example of rolling a die. If the incidence of one event does affect the probability of the other event then the events are dependent. The probability of occurring of the two events are independent of each other.
Independent Just multiply the probability of the first event by the second.
In Probability the set of outcomes of an experiment is called events. Conditional Probability Two events E and F are independent if the occurrence of E in a probability experiment does not affect or alter the probability of event F occuring. The outcome of tossing the first coin cannot influence the. The probability of rain today and the probability of my garbage being. You flip a coin and get a head and you flip a second coin and get a tail. If P A ∠B P A  P B If A and B.