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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Q. The probability of the events must lie in the limits of

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Q. The event such as equal chance of heads or tails while tossing the coin is an example of

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Q. In a Venn diagram used to represent probabilities, the occurred events are represented by

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Q. If the probability of an event depends on repetitive observations that occurs in outcomes of experiment then this is classified as

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Q. The measure of chance of an uncertain event in the form of numerical figures is classified as

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Q. For the mutually exclusive events, the formula of calculating probability as n(A) ⁄ n(S) + n(B) ⁄ n(S) is used for

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Q. If the number of outcomes in collection are 5 and the distinct outcomes are 9 then the count value according to combinations method is

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Q. In probability theories, the collection of all the events possible outcomes from an experiment is classified as

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Q. The approach in probability in which all outcomes from an experiment are equally likely to occur or are mutually exclusive is called

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Q. The events in which some points of sample are common are considered as

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Q. If a coin is tossed one time then the probability of occurrence of heads is

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Q. If a luggage bag contains two types of shirts, 40 percent are dress shirts, 45 percent are T-shirts and 30 percent are blue jeans then the probability of selecting a dress shirt in random sample is

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Q. The conditional probability of two independent events Y and Z can be written as

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Q. The probability of the event A that does not occur in experiment is equal to

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Q. The method of counting the outcomes in which the number of outcomes are determined without prior listing is classified as

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Q. If in an experiment the A and B are two events, then the occurrence of event B or event A or occurrence of both is represented by

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Q. Considering the events Y and Z, the non-occurrence of event Z and the occurrence of event Y is represented by

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Q. The previous probabilities in Bayes Theorem that are changed with the help of new available information are classified as

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