Poisson distribution: Difference between revisions

Revision as of 14:02, 5 August 2014

Statistics.

A probability model used where discrete events occur in a continuum.

For example, the number of phone calls received in a given time period.

The Poisson distribution can be a useful model for processes where:

Continuous observation is needed, rather than a number of independent trials.
The random variable takes a positive whole number value.
The expected number of occurrences is known or can be estimated and
Primary interest is in the number of times an event occurs within a particular period.

@@ Line 1: / Line 1: @@
-A discrete probability distribution that gives the expected frequency of occurrence of certain types of random events.
+<i>Statistics</i>.
+A probability model used where discrete events occur in a continuum.
+For example, the number of phone calls received in a given time period.
+The Poisson distribution can be a useful model for processes where:
+#Continuous observation is needed, rather than a number of independent trials.
+#The random variable takes a positive whole number value.
+#The expected number of occurrences is known or can be estimated and
+#Primary interest is in the number of times an event occurs within a particular period.
 == See also ==
 * [[Discrete random variable]]
+* [[Binomial distribution]]
 * [[Frequency distribution]]
 * [[Probability]]