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15 Cards in this Set
- Front
- Back
Probability
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measure of the likelihood that a given event will occur, expressed as a number between 0 and 1
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Event
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is any collection of results or outcomes of a procedure
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Relative Frequency Approximation of Probability
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conduct or observe a procedure, and count the number of times that even A actually occurs.
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Classical Approach to Probability
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assume a given procedure has "n" different simple events and each has an equal chance of occurring
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Subjective Probabilities
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P(A), the probability of even A, is estimated by using knowledge of the relevant circumstances.
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Law of large numbers
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As procedure is repeated again and again, the relative frequency probability of an even tends to approach the actual probability
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Complement
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is of the Event A, denoted by (line over A), consists of all outcomes in which event A does not occur.
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Disjoint (Mutually Exclusive)
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Events A and B are disjoint if they cannot occur at the same time ( do not overlap)
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P(A|B)
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represents the probability of event B occurring after it is assumed that event A has already occurred.
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Independent
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2 events, A and b, are independent if the occurrence of one does not affect the probability of the occurrence of the other.
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Dependent
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2 events are dependent if the occurrence of one affects the probability of the occurrence of the other but doesn't mean that one is the cause of the other
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Binomial probability distribution
#1 |
The procedure has a fixed number of trials
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Binomial probability distribution
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The trials must be independent
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Binomial probability distribution
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Each trial must have all outcomes classified into two categories: Success and Failure.
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Binomial probability distribution
#4 |
The probability of a success remains the same in all trials.
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