Statistics: Difference between revisions

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<math>f{x} = {\sum \lambda \cdot \bar{y} \over \sum \lambda^{2} \over n}</math>
<tex>f{(x)} = {\sum \lambda \cdot \bar{y} \over \sum \lambda^{ \over 2 n} }</tex>


::<math>
::<math>
f(x, \mu, \sigma) = \frac{1}{\sigma \sqrt{2\pi} } e^{ -\frac{(x-\mu)^2}{2\sigma^2} }
f(x, \mu, \sigma) = \frac{1}{\sigma \sqrt{2\pi} } e^{ -\frac{(x-\mu)^2}{2\sigma^2} }
</math>
</math>

Latest revision as of 23:54, 31 August 2015

<tex>f{(x)} = {\sum \lambda \cdot \bar{y} \over \sum \lambda^{ \over 2 n} }</tex>