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Expectation (math)
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Revision as of 00:59, February 22, 2009
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f(x)dx.
f(x)dx.
</math>
</math>
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For a discretely distributed variable <math>X</math> with [[probability mass function]]
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<math>p_{k}</math> it is
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:<math>
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\mbox{E}[X] = \sum_{k} p_{k}x_{k}
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</math>
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The expectation is also the [[mean]] of a distributed variable <math>X</math>.
The expectation is also the [[mean]] of a distributed variable <math>X</math>.
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Line 15:
g(x)
g(x)
f(x)dx.
f(x)dx.
+
</math>
+
+
For a discretely distributed variable <math>X</math> with [[probability mass function]]
+
<math>p_{k}</math> it is
+
:<math>
+
\mbox{E}[X]=\sum_{k} p_{k}x_{k}.
</math>
</math>
[[category:Probability and Statistics]]
[[category:Probability and Statistics]]
Sjay
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