Q. For a random experiment, all the possible outcomes are called

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Q. The types of probabilities for independent events must includes

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Q. The probability without any conditions of occurrence of an event is considered as

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Q. The joint probability of two statistical dependent events Y and Z can be written as P(Y and Z) =

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Q. In a Venn diagram used to represent probabilities, the sample space of events is represented by

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Q. The marginal probability of independent events and dependent events must be

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Q. Consider an event B, the non-occurrence of event B is represented by

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Q. The method of counting the outcomes in which the number of outcomes are determined while considering the ordering is classified as

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Q. The method of counting the outcomes in which the number of outcomes are determined without taking care of the arrangement order is classified as

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Q. The outcome of experiment which can be broken into more convenient list of outcomes is called

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Q. The important rules in computation of experimental outcomes includes

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Q. For two events, the probability of occurrence of both events at same time or occurrence in series is classified as

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Q. Considering the combination rule of counting the outcome, the value of 5! Is

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Q. In probability theory, the events are denoted by

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Q. If a brown sack consists of 4 white balls and 3 black balls then the probability of one randomly drawn ball will be white is

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Q. The difference between sample space and subset of sample space is considered as

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Q. In measuring the probability of any certain event, the one which is in the limit of probability represents

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Q. The occurrence of two events in a way that events have some connection in between is classified as

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Q. If a bag contains three fruits, 16 percent are apples, 30 percent are oranges and 20 percent some other fruit that is neither oranges nor apples then the probability of selecting an orange randomly is

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Q. The method in which the previously calculated probabilities are revised with new probabilities is classified as

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