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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Q. The payments received by cheques or cash is an example of

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Q. If two events G and H are classified as joint events then the events are represented as

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

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Q. The number of favorable occurrences are divided by the total number of possible occurrences to calculate

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Q. The sample space for the experiment in which two coins are tossed is

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Q. The type of probability approach in which the event A is the ratio explaining the number of times event A is occurred in experiments is classified as

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Q. If the occurrence of a statistical event A does not affect the occurrence of event B and vice versa then these events are classified as

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