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Introduction To Probability
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Introduction To Probability
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Introduction To Probability
If a brown sack consists of 4 white balls and 3 black balls then the probability of one randomly drawn ball will be white is
4 ⁄ 7
1 ⁄7
4 ⁄ 4
4 ⁄ 3
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Introduction To Probability
If in an experiment the A and B are two events, then the occurrence of event A or B simultaneously is represented by
A intersection B
A + B
A – B
A union B
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rikazzz
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Introduction To Probability
In measuring the probability of any certain event, the one which is in the limit of probability represents
certain event
sample event
impossible events
possible events
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Introduction To Probability
The probability of the event A that does not occur in experiment is equal to
1 – P(A)
1 + P(A)
1 × P(A)
2 – P(A)
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Introduction To Probability
The number of individuals arriving at boarding counter on an airport is an example of
numerical outcome
non numerical outcome
random outcome
simple outcome
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Introduction To Probability
The marginal probability of independent events and dependent events must be
same
different
one
two
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Introduction To Probability
The method in which the previously calculated probabilities are revised with new probabilities is classified as
updating theorem
revised theorem
Bayes theorem
dependency theorem
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Introduction To Probability
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
statistically dependent events
descriptive unaffected events
statistically independent events
statistically unaffected events
Author:
rikazzz
Comment
Introduction To Probability
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
A – B
A union B
A intersection B
A + B
Author:
rikazzz
Comment
Introduction To Probability
The method of counting the outcomes in which the number of outcomes are determined while considering the ordering is classified as
intersection combinations
union combinations
listed combination
permutations
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rikazzz
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