Difference between revisions of "Statistics notes  on random variables, distributions, probability"
From Helpful
m (→A few distributions) 
m (→Poisson distribution) 

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independently of time since last even.  independently of time since last even.  
−  Used mainly if the events are relatively sparse  +  Used mainly if the events are discrete, and relatively sparse, 
+  where the distribution sits against zero and noticeably isn't very symmetric.  
+  
+  Note that when not so sparse, the shape much resembles a normal distribution.  
+  In part just because of the CLT, though, and it may still make more sense to model it as Poisson for a few usuallyminor reasons (normal is continuous).  
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https://en.wikipedia.org/wiki/Poisson_distribution  https://en.wikipedia.org/wiki/Poisson_distribution  
>  >  
−  
===Gaussian/Normal distribution===  ===Gaussian/Normal distribution=== 
Revision as of 19:03, 4 July 2020
This is more for overview of my own than for teaching or exercise.
Other data analysis, data summarization, learning

This article/section is a stub — probably a pile of halfsorted notes, is not wellchecked so may have incorrect bits. (Feel free to ignore, fix, or tell me) 