Q. In probability theories, the events which can never occur together are classified as

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Q. The joint probability of the independent events J and K is equal to

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Q. Consider two events X and Y, the X-bar and Y-bar represents

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Q. In measuring the probability of any certain event, the zero represents

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Q. The number of individuals arriving at boarding counter on an airport is an example of

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Q. The variation in which outcomes of experiments are effected by uncontrolled factors is considered as

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Q. If two events X and Y are considered as partially overlapping events then the rule of addition can be written as

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Q. If a person buys a lottery, the chance of winning a Toyota car is 60%, the chance of winning Hyundai car is 70% and the chance of winning both is 40% then chance of winning Toyota or Hyundai is

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Q. According to combination rule, if the total number of outcomes are 'r' and distinct outcome collection is 'n' then combinations are calculated as

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Q. The outcomes of an experiment are classified as

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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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