Wallis, Sean. Original image by author. A version of this plot is published in Wallis (2021: 180).[1]
Wilson score intervals for n = 10 and n = 100 computed alongside an example logistic curve. Unlike the normal approximation interval, the Wilson interval performs correctly for small samples (e.g. n = 10) or where p is close to 0 or 1.
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
to share – to copy, distribute and transmit the work
to remix – to adapt the work
Under the following conditions:
attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
https://creativecommons.org/licenses/by/4.0CC BY 4.0 Creative Commons Attribution 4.0 truetrue
== Summary == Wallis, Sean. Original image by author. A version of this plot is published in Wallis (2021: 180).<ref name=Wallis2021> {{cite book | last = Wallis | first = Sean A. | title = Statistics in Corpus Linguistics - a new approach | publisher = Routledge | location = New York | isbn = 9781138589384 | url = https://www.routledge.com/Statistics-in-Corpus-Linguistics-Research-A-New-Approach/Wallis/p/book/9781138589384 | date = 2021 }}</ref> Wilson score intervals for ''n'' = 10...