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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Q. The conditional probability of two events Y and Z written as P(Z|Y) = P(Y and Z) ⁄ P(A) shows that the events are

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

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Q. If the number of outcomes in collection are 2 and the distinct outcomes are 4 then the count value according to permutations is

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