probability Mcqs
52. The joint probability is _______________?
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A. The likelihood of two events happening given that another event has already ha

B. Also called Prior probability

C. Based on two mutually exclusive events

D. The likelihood of two events happening together
53. If A and B are mutually exclusive then?
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A. P(AeitherB)=0

B. P(AnorB)=0

C. P(AorB) =0

D. P(AandB)=0
59. Addition Law of probability for mutually exclusive event is equal _______________?
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A. P(AUB) = P(A) + P(B) P(A?B)

B. P(A?B) = P(A). P(B

C. P(A?B) = P(A) + P(B) + P(A?B)

D. P(AUB)=P(A) + (B)
61. A?B means:_______________?
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A. The elements A but not of B

B. The elements of A and B

C. None of these

D. The elements of A or B
65. when a three die rolled the sample space consists of _____________?
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A. 6 outcomes

B. 216 outcomes

C. Non of these

D. 24 outcomes

67. 5C5 is equal to ________________?
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A. 5

B. 1

C. 55

D. None of these

69. Two event are said to be equally likely is ______________?
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A. As any other

B. both event occurs

C. One occurs

D. not both occurs

70. If two events can both occur at the same time then they are referred as:__________________?
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A. Mutually Exclusive events

B. Dependent events

C. Exclusive events

D. Independent events

74. In special rule of addition of probability, the events are Always:_______________?
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A. Bayesian

B. Empirical

C. Mutually Exclusive events

D. Independent events

75. The product of first n natural numbers is _____________?
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A. None of these

B. n. (n-1) (n-2)..3.2.1.0

C. 1.2.3(n-2) (n-1) (n)

D. 1.2.3.4,

77. Events occurring together without affecting each other are called:_________________?
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A. Independent events

B. Equally likely events

C. Mutually Exclusive events

D. Dependent events

78. If A denotes the males of a town and B denotes the females of that town, then A and B are:___________?
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A. None of these

B. Non- overlapping sets

C. Over lapping sets

D. Equal sets

79. If the events have same chance of occurrence they are called:_______________?
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A. Equally likely events

B. Mutually Exhaustive events

C. dependent events

D. Exhaustive events

80. The collection of one or more outcomes from an experiment is called:__________________?
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A. Random Experiment

B. Z-Value

C. Event

D. Probability

E. Random Variable

81. A listing of the possible outcomes of an experiment and their corresponding probability is called:______________?
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A. Contingency table

B. Probability distribution

C. Bayesian table

D. Random Variable

E. Frequency distribution

82. The probability of an event cannot be _____________?
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A. None of these

B. Positive

C. Negative

D. Zero

85. Two mutually exclusive events are __________?
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A. Dependent

B. Independent

C. Overlapped

D. None of These

86. In a Poisson probability distribution __________________?
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A. The probability of success is always greater than 5

B. The number of trials is always less than 5

C. it always contains a contingency table

D. The mean and variance of the distribution are same (equal)