within 1 interval the probability of 0 event happens is e^-Λ (e to the negative lambda)

so within x intervals the probability of 0 event happens is e^-Λx

so the cumulative probability of the first event happens within x intervals is 1-e^-Λx

Then take the derivative of that we get f(x) = Λe^-Λx ]]>

I’m also struggling to seeing a what’s special about MSE and MSB. Any insights?

]]>1.5 times the interquartile range from the box is 1.5 * 5.6481939 = 8.472291

The top of the box is 24.18153

31.22629 – 24.18153 = 7.04476.

7.04476 < 8.472291, therefore it becomes the whisker. Hope that clears it up.

]]>With the 25 and 75 percentiles, IQR = 5.6481939. Median + 1.5 IQR = 20.759577 + 1.5(5.6481939) = 29.23186785.

The top whisker however is 31.22. Why is this mismatch between expected and reported top/bottom whiskers ?

]]>Hope that helps.

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