Subjective probability is the probability assigned to an event based on subjective judgment, experience, information, and belief.
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93%
T
7%
F
Conditional Probability probability of a single event without consideration of any other event.
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29%
T
71%
F
Conditional Probability is the probability that an event will occur given that another event has already occurred.
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93%
T
7%
F
is also called simple probability
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86%
Marginal probability
14%
Conditional probability
if p(A) = 5 , p(B) = 25 , P(A Union B) = 125 , P(A Intersection B) =25 then P(A| B) =
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68%
1
23%
5
7%
25
1%
125
Two events are said to be …. if the occurrence of one does not affect the probability of th
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11%
dependent
89%
independent
P ( A or B) =
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8%
P(A) + P(B) + P(A and B)
2%
P(A) - P(B) - P(A and B)
88%
P(A) + P(B) - P(A and B)
2%
P(A) - P(B) + P(A and B)
random variable is a variable whose value is determined by the outcome of a random experiment.
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96%
T
4%
F
random variable that assumes ...... values is called a discrete random variable.
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87%
countable
13%
Categories
The probability of the intersection of two events is called their … probability
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32%
join
68%
joint
In independent events P(A and B) = ..
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12%
P(A) P(A|B)
7%
P(B) P(B|A)
77%
P(A) P(B)
4%
P(A) P(A|A)
lists all the possible values that the random variable can assume and their corresponding probabilities,
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12%
PDF
59%
PD
8%
DVD
20%
DRF
random variable that assumes countable values is called a Continues random variable.
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24%
T
76%
F
The probability distribution of a discrete random variable can be presented in the form of a mathematical formula, a table, or a graph
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86%
T
14%
F
A random variable that can assume any value contained in one or more intervals is called a ........... random variable
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84%
continuous
16%
discrete