When doing a maximum likelihood fit, we often take a ‘Gaussian approximation’. This problem works through the case of a measurement from a Poisson distribution. The Poisson distribution results in a likelihood for the average number $\mu$, given that $n$ events were observed:$L(\mu;n)=\cfrac{\mu^{n}e^{-\mu}}{n!}$
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Sketch $L(\mu;n)$. It may also be useful to sketch separately the two terms, $\mu^n$ and $e^{-\mu}$, which contribute to the overall shape.
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$L(\mu;n)$ is shown below for the example of $n = 3$. The dashed lines are $\frac{\mu^3}{6}$ and $e^{-\mu}$ separately:
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My question is very simple: How on earth do those dashed lines contribute to the solid black line?
For example, look at where the dotted lines intersect, the height appears to be .3 for both. Thus, $$.3\cdot .3 = .09$$ which is about the height of the solid line. Similarly as you examine farther out.