Exam (elaborations)
Exam (elaborations) BUS6225 Business Statistics
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BUSINESS STATSMULTIPLE CHOICE FINAL
EXAM REVIEW
A discrete distribution is usually the result of - A count.
An event is the collection of one or more - Outcomes.
The observation of some activity or the act of taking some measurement is called - An
experiment.
The mean of a discrete probability is also called the - Expected Value.
A listing of all possible outcomes of an experiment and the corresponding probability is
called: - A probability distribution.
If A and B are mutually exclusive events the P(A and B) equals - P(A)+P(B).
If the probability of an event occurring is 0.40 that means - The event has 60% chance
of not occuring.
Which formula represents the probability of the complement of event A? - 1-P~(A)
To construct a probability distribution, we need to know - The number of trials and the
probability of success.
The difference between the binomials and the hypergeometric distribution is - The
probability of a success is not the same for all trials in the hypergeometric.
Which distribution would be most appropriate if one wanted to find the probability of
selecting four honest politicians (without replacement) from a sample of 25 politicians? -
Poisson.
If A and B are independent events, then the probability of A and B equals - P(A)xP(B).
Two events occurring at the same time is called - Joint probability.
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