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Illustrated definition of Dependent Event: An event that is affected by previous events. Example: removing colored marbles from a bag. Each time you remove...
Dependent events are those which depend upon what happened before. These events are affected by the outcomes that had already occurred previously, i.e., two or more events that depend on one another are known as dependent events. If one event is by chance changed, then another is likely to differ.
Dependent events are those events that are affected by the outcomes of events that had already occurred previously. i.e. Two or more events that depend on one another are known as dependent events. If one event is by chance changed, then another is likely to differ.
When two events are dependent events, one event influences the probability of another event. A dependent event is an event that relies on another event to happen first.
Two or more events that depend on one another are known as dependent events. If one event is by chance changed, then another is likely to differ. Thus, If whether one event occurs does affect the probability that the other event will occur, then the two events are said to be dependent.
In probability, if one event affects the outcome of the other event, is called a dependent event but if one event does not affect the outcome of the other event that event is called independent.
Dependent Events Definition. Two events are said to be dependent if the occurrence of one event changes the probability of occurrence of the other event. Mathematically, two events $A$ and $B$ are said to be independent if $P(A \cap B) \neq P(A)P(B)$. How to Solve Dependent Events
Events can be "Independent", meaning each event is not affected by any other events. This is an important idea! A coin does not "know" that it came up heads before ... each toss of a coin is a perfect isolated thing.
Events can be "Independent", meaning each event is not affected by any other events. Example: Tossing a coin. Each toss of a coin is a perfect isolated thing. What it did in the past will not affect the current toss. The chance is simply 1-in-2, or 50%, just like ANY toss of the coin. So each toss is an Independent Event.
A dependent event is defined by the interdependence of events, in which the circumstance non-occurrence of another determines the result or possibility of one event. The actuality or absence of the first event directly influences the probability or circumstance of the alternate event.