It means that two events cover the spectrum of possible events. For instance, with respect to flipping a coin, the event of getting heads and the event of getting tails are mutually exhaustive. There is not another outcome of events possible when flipping a coin.
A sets events is said to be exhaustive if the performance of the experiment always results in the accurance of atleast one of them.
in order in which events occur.
events that have one or more outcomes in common.
The definition of the word plot, in English, the order of events told in a story.
a crucial part in a story
Mutually exhaustive refers to a set of outcomes or events in which all possible scenarios are accounted for, ensuring that at least one of the outcomes must occur. In other words, when events are mutually exhaustive, they cover the entire sample space, leaving no possibility unconsidered. This concept is often used in probability and statistics to ensure comprehensive analysis of events. For example, the outcomes of flipping a coin (heads or tails) are mutually exhaustive.
The definition of mutually exclusive events is that the events can't occur at the same time. For example, you can't flip a coin and get a head and a tail; they are mutually exclusive events.
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Yes.
Mutually exclusive. The two events can also be exhaustive if there is no other possibility. For example, if you believe in a state of spiritual limbo, then there is a third possible outcome. In that case death and life are no longer exhaustive.
It is a set of events that, taken together, include all possible outcomes.
The opposite of mutually exclusive is collectively exhaustive, meaning that the options or events being considered cover all possible outcomes without any overlap.
Any two events in which one cannot happen without the other.
No, by definition, muatually exclusive cannot occur together .
Your groups should be mutually exclusive and collectively exhaustive.
No, two events cannot be mutually exclusive and independent simultaneously. Mutually exclusive events cannot occur at the same time, meaning the occurrence of one event excludes the possibility of the other. In contrast, independent events are defined such that the occurrence of one event does not affect the probability of the other occurring. Therefore, if two events are mutually exclusive, the occurrence of one event implies that the other cannot occur, which contradicts the definition of independence.
A sets events is said to be exhaustive if the performance of the experiment always results in the accurance of atleast one of them.