The probability for an outcome not in the support of a distribution is unknown. a) True b) False
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arslaanshaik:
i know this answer
Here answer is (B) False
explanation
A discrete probability distribution (applicable to the scenarios where the set of possible outcomes is discrete, such as a coin toss or a roll of dice) can be encoded by a discrete list of the probabilities of the outcomes, known as a probability mass function.
explanation
A discrete probability distribution (applicable to the scenarios where the set of possible outcomes is discrete, such as a coin toss or a roll of dice) can be encoded by a discrete list of the probabilities of the outcomes, known as a probability mass function.
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False.
As per the definition of the probability distribution.
The answer to the function is to provide the function of the occurrence so that one can calculate the probability of the whole process.
This is mainly of the data that is distributed randomly in the whole process and can have an event or probabilities as per the terms of the random phenomenon.
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