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Statistics lets us estimate properties about everything from the weather to the quality of beer. But uncertainty and variation are always lurking, and without a measure of how confident we are in our estimates, we could go badly astray in our assumptions and decisions. Distributions and confidence intervals give us guardrails for measuring precisely how certain we ought to be in the statistics we do.
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Chapters:
0:00 – Introduction
0:45 – Sampling And Inferential Statistics
1:37 – Guinness And The History Of Sampling Error
3:24 – The T Distribution
8:30 – Finding And Interpreting Intervals
10:40 – Conclusion
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SOURCES:
https://faculty.fiu.edu/~blissl/GuinessGossetFisher.pdf
https://theconversation.com/the-genius-at-guinness-and-his-statistical-legacy-93134
https://doras.dcu.ie/19448/1/Thomas_J_Tynan_20130724102755.pdf
https://www.aeaweb.org/articles?id=10.1257/jep.22.4.199
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