"the assumptions underlying inferential statistical tests are rarely met, meaning that students are being

taught analyses that should only be used very rarely. Secondly, all of the most

common outputs of inferential statistical tests – p-values, standard errors and

confidence intervals – suffer from a similar logical problem that renders them at best

useless and at worst misleading. Eliminating inferential statistical tests from statistics

teaching (and practice) would avoid the creation of another generation of

researchers who either do not understand, or knowingly misuse, these techniques."

https://iase-web.org/documents/SERJ/SERJ16(1)_White.pdf

As an instructor and statistical consultant, who apparently does not understand and has unknowingly misused these techniques, I would be very interested to hear the thoughts/opinions of others on this topic!

Thanks,

Brian