From 41bb0d171f114de7164eede1c6aaf33b6fffe1c5 Mon Sep 17 00:00:00 2001 From: Mike Frank Date: Mon, 18 Dec 2023 11:36:21 -0800 Subject: [PATCH] closed #212 --- 005-estimation.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/005-estimation.qmd b/005-estimation.qmd index 22b510f3..e90d1dc2 100644 --- a/005-estimation.qmd +++ b/005-estimation.qmd @@ -19,7 +19,7 @@ In this next section of the book -- treating statistical topics -- we will integ ::: {.callout-note title="case study"} ## The Lady Tasting Tea {-} -The birth of modern statistical inference arose from the age old conundrum of how to best make a cup of tea. Sir Ronald Fisher was apparently at a party when a lady declared that she could tell the difference when tea was added to milk vs. milk to tea. Rather than taking her at her word, Fisher devised an experimental and data analysis procedure to test her claim. +The birth of modern statistical inference arose from the age old conundrum of how to best make a cup of tea. The statistician Ronald Fisher was apparently at an afternoon tea party when a lady declared that she could tell the difference when tea was added to milk vs. milk to tea. Rather than taking her at her word, Fisher devised an experimental and data analysis procedure to test her claim. The basic schema of the experiment was that the lady would have to judge a set of new cups of tea and sort them into milk-first vs. tea-first sets. Her data would then be analyzed to determine whether her level of correct choice exceeded that expected by chance. While this process now sounds like a quotidian experiment that might be done on a cooking reality show, it seems unremarkable in hindsight only because it set the standard for the way science was done going forward.