Probability Definitions Dr. Dan Gilbert Associate Professor Tennessee Wesleyan College.
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Transcript of Probability Definitions Dr. Dan Gilbert Associate Professor Tennessee Wesleyan College.
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Probability Definitions
Dr. Dan GilbertAssociate Professor
Tennessee Wesleyan College
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Definitions
Probability The expected outcome of an activity A numerical statement about the likelihood that
an event will occur
Experiment An activity that produces an event
Sample The set of all possible outcomes of an
experiment
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Definitions
Classical probability The number of outcomes favorable to the
occurrence of an event, divided by the number of possible outcomes
Subjective probability Probability based on personal beliefs of the
person making the probability estimateEvent
One or more of the possible outcomes of an experiment
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Definitions
Mutually exclusive events Events which cannot happen together
Non-mutually exclusive events Events which may or may not occur
together
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Definitions
Conditional probability The probability of one event occurring given
that another event has occurred.
Joint probability The probability of events occurring together or
in succession
Marginal probability The unconditional probability of one event
occurring
;not /
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Definitions
Statistical independence The conditions in which the occurrence of one
event has no effect upon the probability of any other event
Statistical dependence The conditions in which the probability of some
event is dependent upon or affected by the occurrence of some other event
P(A B) = P(A) +
P(B)
P(A B) = P(A) +
P(B)
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Definitions – Chapter 5
Random Variable A variable whose numerical value is determined
by the outcome of a random experimentDiscrete Random Variable
A random variable whose value is obtained by some finite number
Continuous Random Variable A random variable whose value is obtained
from a continuous scale within a given interval, and has an infinite number of possible outcomes
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Discrete vs Continuous
Discrete
Counting
Continuous
Measuring
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Definitions
Probability Distribution A systematic listing of all the possible values a
random variable can take on, plus their respective probabilities
Discrete Probability Distribution A probability distribution in which the variable is
allowed to take on only a limited number of values
Expected value A measure of the central location of a random
variable
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Definitions
Binomial probability distribution A discrete probability distribution of the results
of an experiment using the Bernoulli process
Bernoulli process A process in which
1) Each trial has only two possible outcomes
2) The probability of the outcome of any trial remains fixed over time
3) The trials are statistically independent
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Definitions
Poisson probability distribution A discrete distribution in which the probability of
the occurrence of an event within a very small time period is very small, in which the probability of two or more events will occur within the same small time interval is effectively zero, and in which the probability of the occurrence of the event within one time period is independent of where that time period is.
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Chapter 6
Continuous probability distribution A probability distribution in which the variable is
presented to take on any variable within a given range
Normal distribution A distribution in which the curve has a single
peak, in which it is bell-shaped, in which the mean lies at the center of the distribution, and in which the two tails extend indefinitely and never touch