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Introduction To Probability
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Introduction To Probability
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Introduction To Probability
The probability without any conditions of occurrence of an event is considered as
conditional probability
marginal probability
non conditional probability
occurrence probability
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Introduction To Probability
In a Venn diagram used to represent probabilities, the sample space of events is represented by
square
triangle
circle
rectangle
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Introduction To Probability
The method of counting the outcomes in which the number of outcomes are determined without prior listing is classified as
single experiments
multiple experiments
zero experiments
unlisted experiments
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Introduction To Probability
Considering the events Y and Z, the non-occurrence of event Z and the occurrence of event Y is represented by
Y-bar union Z
Y union Z-bar
Y-bar intersection Z
Y intersection Z-bar
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Introduction To Probability
The method of counting the outcomes in which the number of outcomes are determined without taking care of the arrangement order is classified as
listed combinations
union combinations
intersection combination
unlisted combinations
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Introduction To Probability
The probability of the events must lie in the limits of
one to two
two to three
one to two
zero to one
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Introduction To Probability
The outcomes of an experiment are classified as
logged events
exponential results
results
events
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Introduction To Probability
In probability theory, the events are denoted by
Greek letters
capital letters
small letters
Latin letters
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Introduction To Probability
According to combination rule, if the total number of outcomes are ‘r’ and distinct outcome collection is ‘n’ then combinations are calculated as
n! ⁄ r!(n – r)!
n! ⁄ r!(n + r)!
r! ⁄ n!(n – r)!
r! ⁄ n!(n + r)!
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rikazzz
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Introduction To Probability
If two events G and H are classified as joint events then the events are represented as
G * H
G + H
G intersection H
G union H
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