Difference between revisions of "Statistics notes  some introduction"
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You can find any pattern you want, to any level of precision you want, if you are prepared to ignore enough data  Matt Parker  You can find any pattern you want, to any level of precision you want, if you are prepared to ignore enough data  Matt Parker  
[https://www.youtube.com/watch?v=6JwEYamjXpA&t=1658s]  [https://www.youtube.com/watch?v=6JwEYamjXpA&t=1658s]  
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+  ==Descriptive statistics, inferential statistics==  
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+  The distinction between descriptive and inferential is largely that  
+  * inferential tries to make statements about a population based on a sample (assuming it is representative),  
+  * descriptive statistics describes the sample itself  
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+  Both quantitatively describing the main features of some data,  
+  and many realworld statistical summaries will be a mix  roughly "this is what we observed in the sample (descriptive), and we we think it means this in the population (inferential), (and here is our sample size and how it relates to the population, etc)".  
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+  Descriptive may do less, but in itself it is more robust  for example, you don't have to worry about sample biases such as [[selection bias]].  
>  >  
[[Category:Math on data]]  [[Category:Math on data]] 
Revision as of 13:53, 6 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) 