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

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==A few distributions==  ==A few distributions==  
+  
+  <!  
+  https://link.springer.com/chapter/10.1007/9781493965724_3  
+  >  
===Binomial distribution===  ===Binomial distribution===  
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Basically binomial  Basically binomial  
+  
+  >  
+  
+  ====Uniform Distribution====  
+  <!  
+  Discrete[https://en.wikipedia.org/wiki/Discrete_uniform_distribution] and continuous[https://en.wikipedia.org/wiki/Uniform_distribution_(continuous)] variants are both useful  
+  
+  While this one often falls away a little in 'well duh',  
+  it can also be seen as a more complex case of binomial.  
+  
+  For example, a single fair dice throw is n cases of 1/n probability (where n is the amount of faces).  
+  
+  
+  Note that the distribution of ''combined'' dice rolls starts resembling a gaussian.  
+  
+  >  
+  
+  
+  ====Exponential Distribution====  
+  <!  
+  continuous (note that the [https://en.wikipedia.org/wiki/Geometric_distribution] is a very similar discrete distribution)  
+  
+  
+  https://en.wikipedia.org/wiki/Exponential_distribution  
>  > 
Revision as of 21:53, 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) 