Microsoft Office Tutorials and References
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Exhibit 8.8 Binomial probability distribution example
Exhibit 8.9 Bimodal distribution
terminology uses the definition of the mode (the maximum occurring value)
loosely, but it is generally accepted that a bimodal distribution need not have
equal probability for local modes. Additionally, some distributions are sym-
metrical in shape (Normal or Uniform), while others need not be (Poisson,
Beta, or Binomial).
b. Behavior of uncertain events . Often, we must assume particular behavior in
order to justify using certain distributions. For example, in a Poisson arrival
process, the arrivals are defined to be independent of one another, they occur
at random, and the average number of events over a unit of time (or space) is
constant. (More on the Poisson in the next section.) Even when we bend the
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