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Introduction To Probability
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Introduction To Probability
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Introduction To Probability
The approach in probability in which all outcomes from an experiment are equally likely to occur or are mutually exclusive is called
durable approach
permanent approach
temporary approach
classical approach
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Comment
Introduction To Probability
If the occurrence of one event affects or explains the occurrence of other event then the events are classified as
known events
unknown events
independent events
dependent events
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Introduction To Probability
If a bag contains three fruits, 16 percent are apples, 30 percent are oranges and 20 percent some other fruit that is neither oranges nor apples then the probability of selecting an orange randomly is
0.3
0.45
0.65
0.034
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Introduction To Probability
Considering the combination rule of counting the outcome, the value of 5! Is
5
120
24
20
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Introduction To Probability
If a coin is tossed one time then the probability of occurrence of heads is
1⁄2
1⁄1
2⁄1
2⁄2
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Introduction To Probability
The conditional probability of two independent events Y and Z can be written as
P(Y – Z)
P(Y * Z)
P(Y|Z)
P(Y + Z)
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Introduction To Probability
The previous probabilities in Bayes Theorem that are changed with the help of new available information are classified as
independent probabilities
posterior probabilities
interior probabilities
dependent probabilities
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Comment
Introduction To Probability
Consider two events X and Y, the X-bar and Y-bar represents
occurrence of Y
occurrence of X
non-occurrence of X and Y
occurrence of X and Y
Author:
rikazzz
Comment
Introduction To Probability
If the occurrence of one event does not affects or explains the occurrence of other event then the events are classified as
independent events
dependent events
known events
unknown events
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Comment
Introduction To Probability
The payments received by cheques or cash is an example of
numerical outcome
non numerical outcome
random outcome
simple outcome
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